The indispensability argument seeks to establish the existence of mathematical objects. The success of the indispensability argument turns on finding cases of genuine extra- mathematical explanation. In this paper, I identify a new case of extra- mathematical explanation, involving the search patterns of fully-aquatic marine predators. I go on to use this case to predict the prevalence of extra- mathematical explanation in science.

Objective: A deep understanding of the relationship between a scarce drug's dose and clinical response is necessary to appropriately distribute a supply-constrained drug along these lines. Summary of key data: The vast majority of drug development and repurposing during the COVID-19 pandemic – an event that has made clear the ever-present scarcity in healthcare systems –has been ignorant of scarcity and dose optimisation's ability to help address it. Conclusions: Future pandemic clinical trials systems should obtain dose optimisation data, as these (...) appear necessary to enable appropriate scarce resource allocation according to societal values. (shrink)

The standard approach to solve prediction tasks is to apply inductive methods such as, e.g., the straight rule. Such methods are proven to be access-optimal in specific prediction settings, but not in all. Within the optimality-approach of meta-induction, success-based weighted prediction methods are proven to be access-optimal in all possible continuous prediction settings. However, meta-induction fails to be access-optimal in so-called demonic discrete prediction environments where the predicted value is inversely correlated with the true outcome. In this paper the problem (...) of discrete prediction environments is addressed by embedding them into a synchronised prediction setting. In such a setting the task consists in providing a discrete and a continuous prediction. It is shown that synchronisation constraints exclude the possibility of demonic environments. (shrink)

In the metabolic control theory, the control coefficient is a key parameter in quantifying the sensitivity of the flux towards an infinitesimal variation of enzyme activity. This concept does not apply just as it is for variations of enzyme concentrations whenever there is spatial, energy or resources limitations in the cell. Due to constraint on total enzyme concentration, the variation of concentration of any given enzyme may affect the concentrations of other enzymes. To take into account these correlations between enzyme (...) concentrations, we propose the concept of "combined response coefficient". Its definition is similar to that of the control coefficient, but its mathematical expression is different. Its range of variation is from – + 1, the null value corresponding to optimum enzyme concentration, i.e. to concentrations that maximise the flux, and the negative values to concentrations beyond the optimum value. A summation property could be derived using a simple weighting of the combined response coefficients, the sum of the weighed coefficient being 0. (shrink)

The permanent struggle for optimisation can be seen as one of the most significant cultural principles of contemporary Western societies: the demand for improved performance and efficiency as well as the pursuit of self-improvement are con-sidered necessary in order to keep pace with an accelerated, competitive modern-ity. This affects not only work and education, but also family life, parent–child relationships and intimate relationships in respect to the body and the self, in regard to the public as well as the private (...) realm. Bringing together contributions from renowned scholars from the fields of sociology, psychology and psycho-analysis, this book explores the impacts of optimisation on culture and psyche, examining the contradictions and limitations of optimisation, in conjunction with the effects of social transformations on individuals and shifts in regard to the meaning of ‘pathology’ and ‘normality’. (shrink)

Plastic waste is a significant environmental problem for almost all countries; therefore, protecting the environment from the problem is crucial. The most sensible solution to these problems is substituting the natural aggregates with substantial plastic waste in various building materials. This study aimed to optimise the mixed design ratio of cement brick containing plastic waste as aggregate replacement. Plastic cement brick mixtures were prepared by the incorporation of four different types of plastic waste such as polyethylene terephthalate (PET), high-density polyethylene, (...) low-density polyethylene and polypropylene into cement bricks with different cement contents (150, 300 and 450 g) and plastic replacement percentages (0, 3 and 6%). Compressive strength and water absorption of the plastic cement bricks were analysed using a statistical model through the response surface methodology. It revealed the optimum cement brick mixed design is C3-1% PET with the compressive strength of 27.50 MPa and water absorption of 1.16%. The optimised plastic cement brick also satisfied the general ASTM C62-17 requirements for building bricks despite the higher porosity observed by the scanning electron microscopy. The results from Fourier transform infrared spectroscopy analysis also showed that the addition of the plastic waste into cement brick was unlikely to modify the chemical compound within the cement brick mixtures. Thus, the proposed mathematical model can predict the required hardened properties of plastic cement bricks and could lead to greater utilisation of plastic waste in building materials. (shrink)

Endeavours of politicians, representatives of law enforcement institutions and courts to create simplified, accelerated and less human and time resources requiring legal procedures in criminal cases prompted the authors of this article to assess the possibilities to develop the written form of procedure in Lithuania. The goal of the authors of this article is to assess the origin and goals of the written form of procedure, as well as to define the main rules and points for discussions on the possibilities (...) to develop the written form of procedure in the Lithuanian criminal procedural law. The conclusion is drawn in this article to the effect that written form of procedure is seen as a condition for simplifying and accelerating the legal process, and choosing this form of procedure is not considered as denying or restraining the expectations of participants of criminal procedure towards a fair trial. The analysis provides the basis for the authors to make a conclusion on the appropriate limits of applying written or oral procedures for hearing criminal cases: Oral procedure must be guaranteed in cases where questions of criminal liability and personal guilt are solved at the first instance court hearings; Oral procedure usually has to be guaranteed in cases where during the procedure at the first instance court hearing the questions of criminal liability and personal guilt are solved, although oral procedure may be limited and the procedure may be conducted in written form if new evidence are not investigated and there is no doubt for deciding whether oral procedure is better for understanding the case; Oral procedure need not be guaranteed only in cases where questions of application of the law are solved and if oral procedure was guaranteed during the procedure at the court of first instance; Written procedure may guarantee the right to a fair trial, where the participants of the procedure are allowed to provide various explanations and written documents or a person is allowed to ask for an oral court hearing. (shrink)

Applying causal methods to fields such as healthcare, marketing, and economics receives increasing interest. In particular, optimising the individual-treatment-effect – often referred to as uplift modelling – has peaked in areas such as precision medicine and targeted advertising. While existing techniques have proven useful in many settings, they suffer vividly in a dynamic environment. To address this issue, we propose a novel optimisation target that is easily incorporated in bandit algorithms. Incorporating this target creates a causal model which we name (...) an uplifted contextual multi-armed bandit. Experiments on real and simulated data show the proposed method to effectively improve upon the state-of-the-art. All our code is made available online at https://github.com/vub-dl/u-cmab. (shrink)

The concept of performance has gradually become established in health policies. Presented as necessary and positive, it is often reduced to efficiency, which results in policies and management styles aimed at optimisation. While they are supposed to guarantee the sustainability of our healthcare systems, these practices have made them fragile. Insights from the life sciences help us understand why. Indeed, biologists observe that living beings do not prioritise optimisation but robustness. To cope with fluctuations, a robust organisation operates with redundancies, (...) apparent waste, heterogeneity, organised fluctuations, slowness, and hesitation. It functions sub‐optimally. This article offers a theoretical reflection and management directions for more robust healthcare systems. (shrink)

Definition of the problemThe article addresses the relationship between reproduction, time and the good life. Services offered by reproductive medicine and conceptions of the good life in time influence each other reciprocally. This interaction is characterised by implicit and explicit normative settings and expectations of appropriate temporality.ArgumentsWe first discuss the significance of time for the life course and for parenthood from a sociological and social psychological perspective. Reproductive medicine can increase the options for becoming a parent and thus for life-time (...) autonomy. However, in the context of societal imperatives for optimisation and efficiency, it can also have opposite effects and increase heteronomy. Overall, this leads to changed forms of adaptation and self-determination, new dilemmas and ambivalences in the temporal optimisation of parenthood.ConclusionsAgainst this background, we explain how the ethics of reproductive medicine could benefit from interdisciplinary research that focuses on life in its temporal course. (shrink)

ABSTRACTIn this article I pursue the implications of the statement that constitutional rights are – as Alexy’s principles theory argues – optimisation requirements, and show that they are not. I ar...

This paper examines three approaches to the relationship between our moral reasons to bear costs for others’ sake before and beyond the call of duty. Symmetry holds that you are required to optimise your beneficial sacrifices even when they are genuinely supererogatory. If you are required to bear a cost C for the sake of a benefit B, when they are the only costs and benefits at stake, you are also conditionally required to bear an additional cost C, for the (...) sake of an additional benefit B, when enough other costs and benefits are at stake that both of your alternatives are presumptively supererogatory. Disconnection rejects the requirement to optimise when your options are presumptively supererogatory and maintains that you have an entirely free hand to choose as you will among them. Asymmetry holds that when acting beyond the call of duty you are entitled to a measure of additional freedom compared to when you are not taking on supererogatory costs—you can prioritise your own well-being and reasons to a greater degree—but places constraints on the options that you may permissibly choose. We defend a version of Asymmetry and explore its implications for recent debates on charitable giving. (shrink)

Central to the argument of ‘Biodefense and the Production of Knowledge: Rethinking the Problem’ are claims that the vast majority of ethical debate about biodefense research to date has focused on the dual use problem, and the focus of ethical discussion of dual-use research has been on the need to strike ‘a proper balance of only two dominant values: biosecurity and “open science”’ —the idea being that ‘under current conditions other values can and ought to be ignored because the stakes (...) are so high’.1With regard to , Buchanan and Kelley's main point is that policy making regarding biodefense and dual use should be seen as an ‘optimisation problem’—the aim should be to achieve the greater good of society, where all relevant values are taken into account, rather than limiting attention to just two values—security and open science—in particular. While, as other commentators have argued, it is questionable whether these authors have provided an accurate account of ethical discussion of biodefense and dual use to date, in this brief commentary my purpose is to argue that the values of security and open science should themselves be seen as proxies for other values and that solution to …. (shrink)

Almaatouq et al. propose an integrative experiment design space combined with large samples for scientific advancement. We argue recent innovative designs combining closed-loop experiment designs and Bayesian optimisation allow for integrative experiments at an individual level during a single session, circumventing the necessity for large samples. This method can be applied across disciplines, including developmental and clinical research.

Previous research studies of traffic networks are mainly based on planar networks and less considered the influence of multilayer networks, which illustrate and represent different appropriate urban traffic modes. Development of rail and road networks is inseparable from the development of a prosperous urban area; thus, research on multilayer networks has scientific potential and fulfils a real need. In this paper, a framework of complex network based integrated multilayer urban growth and optimisation model is proposed, to analyse the complex relationships (...) between the traffic network structure, the population growth, and the urban land-use. The innovation of this paper is the combination of the traffic complex multilayer networks and the “Four Step Model”. With the multiobjective, multilayer network coevolution and optimisation model, a more efficient traffic network layout was generated based on different land-use, population density, and travel speed scenarios. Then, this paper has proved that the proposed CNIMUGOM can save the traffic network construction investment, reduce the travel cost, make the urban traffic network more efficient, and decrease the total traffic flow amount. This research has connected the recent complex multilayer network related study and traditional urban economic model based study. The findings of the study afford to improve the current land-use and traffic integrated models and can provide traffic network planning suggestions for urban agglomeration development. (shrink)

This study suggests a new approach to EEG data classification by exploring the idea of using evolutionary computation to both select useful discriminative EEG features and optimise the topology of Artificial Neural Networks. An evolutionary algorithm is applied to select the most informative features from an initial set of 2550 EEG statistical features. Optimisation of a Multilayer Perceptron is performed with an evolutionary approach before classification to estimate the best hyperparameters of the network. Deep learning and tuning with Long Short-Term (...) Memory are also explored, and Adaptive Boosting of the two types of models is tested for each problem. Three experiments are provided for comparison using different classifiers: one for attention state classification, one for emotional sentiment classification, and a third experiment in which the goal is to guess the number a subject is thinking of. The obtained results show that an Adaptive Boosted LSTM can achieve an accuracy of 84.44%, 97.06%, and 9.94% on the attentional, emotional, and number datasets, respectively. An evolutionary-optimised MLP achieves results close to the Adaptive Boosted LSTM for the two first experiments and significantly higher for the number-guessing experiment with an Adaptive Boosted DEvo MLP reaching 31.35%, while being significantly quicker to train and classify. In particular, the accuracy of the nonboosted DEvo MLP was of 79.81%, 96.11%, and 27.07% in the same benchmarks. Two datasets for the experiments were gathered using a Muse EEG headband with four electrodes corresponding to TP9, AF7, AF8, and TP10 locations of the international EEG placement standard. The EEG MindBigData digits dataset was gathered from the TP9, FP1, FP2, and TP10 locations. (shrink)

A considerable number of areas of bioscience, including gene and drug discovery, metabolic engineering for the biotechnological improvement of organisms, and the processes of natural and directed evolution, are best viewed in terms of a ‘landscape’ representing a large search space of possible solutions or experiments populated by a considerably smaller number of actual solutions that then emerge. This is what makes these problems ‘hard’, but as such these are to be seen as combinatorial optimisation problems that are best attacked (...) by heuristic methods known from that field. Such landscapes, which may also represent or include multiple objectives, are effectively modelled in silico, with modern active learning algorithms such as those based on Darwinian evolution providing guidance, using existing knowledge, as to what is the ‘best’ experiment to do next. An awareness, and the application, of these methods can thereby enhance the scientific discovery process considerably. This analysis fits comfortably with an emerging epistemology that sees scientific reasoning, the search for solutions, and scientific discovery as Bayesian processes. (shrink)

This article examines soldier performance optimisation, enhancement, and augmentation across the three dimensions of physical performance, cognitive performance, and socio-cultural understanding. Optimisation refers to combatants attaining their maximum biological potential. Enhancement refers to combatants achieving a level of performance beyond their biological potential through drugs, surgical procedures, or even gene editing. Augmentation refers to a blending of organic and biomechatronic body parts such as electronic or mechanical implants, prosthetics, and brain–machine interfaces. This article identifies that soldier optimisation is a necessity (...) to protect individual combatants and to give them the ability to make legal and morally justifiable decisions in battle. While enhancement and augmentation of military personnel can lead to accelerated and more destructive warfare, it can also be argued that there is an ethical and moral responsibility to provide combatants the best opportunity for survivability, and that better functioning, less fatigued, and better informed military personnel can make better decisions in battle. There is also a moral responsibility of the state for the combatants themselves, and short-term military success must be balanced against the short- and long-term health and wellbeing of the personnel. This article concludes that it is both the intent and the degree that decide the acceptability. (shrink)

The IPAP Schizophrenia Algorithm was originally designed in the form of a flow chart to help physicians optimise the treatment of schizophrenic patients. We examined the current version from the perspective of recent work on terminologies and ontologies thereby drawing on the resources of Basic Formal Ontology, and this with the objective to make the algorithm appropriate for Semantic Web applications. We found that Basic Formal Ontology is a rich enough theory to represent all the entities involved and that applying (...) the theory to the IPAP schizophrenia algorithm results in a representation that can be used by software agents to perform monitoring and control in a referent tracking environment. (shrink)

Merging logic and mathematics in deductive inference-an innovative, cutting-edge approach. Optimization methods for logical inference? Absolutely, say Vijay Chandru and John Hooker, two major contributors to this rapidly expanding field. And even though "solving logical inference problems with optimization methods may seem a bit like eating sauerkraut with chopsticks... it is the mathematical structure of a problem that determines whether an optimization model can help solve it, not the context in which the problem occurs." Presenting powerful, proven (...) optimization techniques for logic inference problems, Chandru and Hooker show how optimization models can be used not only to solve problems in artificial intelligence and mathematical programming, but also have tremendous application in complex systems in general. They survey most of the recent research from the past decade in logic/optimization interfaces, incorporate some of their own results, and emphasize the types of logic most receptive to optimization methods-propositional logic, first order predicate logic, probabilistic and related logics, logics that combine evidence such as Dempster-Shafer theory, rule systems with confidence factors, and constraint logic programming systems. Requiring no background in logic and clearly explaining all topics from the ground up, Optimization Methods for Logical Inference is an invaluable guide for scientists and students in diverse fields, including operations research, computer science, artificial intelligence, decision support systems, and engineering. (shrink)

The relations between rationality and optimization have been widely discussed in the wake of Herbert Simon's work, with the common conclusion that the rationality concept does not imply the optimization principle. The paper is partly concerned with adding evidence for this view, but its main, more challenging objective is to question the converse implication from optimization to rationality, which is accepted even by bounded rationality theorists. We discuss three topics in succession: (1) rationally defensible cyclical choices, (2) (...) the revealed preference theory of optimization, and (3) the infinite regress of optimization. We conclude that (1) and (2) provide evidence only for the weak thesis that rationality does not imply optimization. But (3) is seen to deliver a significant argument for the strong thesis that optimization does not imply rationality. (shrink)

In a series of recent publications, Gigerenzer and his collaborators have attempted to derive new norms of rationality from their psychological research in the Centre for Adaptive Behaviour and Cognition (ABC). Specifically, they have claimed that there are good reasons to replace the norms traditionally used to assess rational behaviour, which rest on the ideal of optimisation. Their proposal has considerable importance, as it has been laid out as a revision of the normative framework accepted in the social, behavioural, and (...) cognitive sciences. Still, whereas the ABC scholars present their approach as diametrically opposed to the framework of optimisation—two incompatible takes on the problem of defining rational behaviour—this paper argues that it is not entirely clear whether this is the case. I introduce a distinction between different kinds of reflection upon norms of rationality that has been neglected by ABC scholars, and provide reasons to think that the departure from the traditional framework might be less radical than ABC scholars suppose. (shrink)

We reopen the investigation into the formal and conceptual relationship between bidirectional optimality theory (Blutner in J Semant 15(2):115–162, 1998 , J Semant 17(3):189–216, 2000 ) and game theory. Unlike a likeminded previous endeavor by Dekker and van Rooij (J Semant 17:217–242, 2000 ), we consider signaling games not strategic games, and seek to ground bidirectional optimization once in a model of rational step-by-step reasoning and once in a model of reinforcement learning. We give sufficient conditions for equivalence of (...) bidirectional optimality and the former, and show based on numerical simulations that bidirectional optimization may be thought of as a process of reinforcement learning with lateral inhibition. (shrink)

L’optimum constitue un lieu théorique où convergent, au XVIIIe siècle, les trois concepts de naturel, de rationnel et d’utile. Dans cet article, il s’agit de montrer que différents discours utopiques des Lumières françaises se caractérisent par leurs manières distinctes d’articuler ces concepts. En prenant pour illustrer notre propos les utopies de Morelly et de Grivel, nous montrons que ces articulations distinctes permettent de rendre compte des tensions qui travaillent la pensée des Lumières, tout particulièrement en ce qui a trait à (...) la question du « progrès ». Le progrès est ce par quoi l’optimum est censé se réaliser dans l’histoire, et l’utopie une prétendue préfiguration de cette réalisation et l’énonciation des moyens de son actualisation. Dans cette mesure, c’est évidemment dans le problème de son caractère nécessaire, contingent ou impossible, et du rôle qu’y joue l’agentivité humaine que se pense à nouveaux frais la question du meilleur des mondes possibles. On verra, pour finir, que le discours utopique des Lumières n’est pas aussi empreint de l’optimisme que l’on a tendance à lui prêter. (shrink)

Optimization for vertical vibration performance of a rail-train coupling system is investigated in this paper with the introduction of inerters for both primary and secondary suspensions. A model of a typical Chinese passenger train that travels on a traditional rail with track, sleepers, and ballast is simulated. The goal is to improve the ride quality for the train and vibration attenuation for the rail system in response to track irregularities. Optimizations for only inertance and all suspension parameters are carried (...) out by the particle swarm algorithm. Performance benefits for both the train and the rail system are demonstrated and suspension layouts with inerters connected in parallel and series are compared with the traditional one in both time domain and frequency domain. (shrink)

Mental representations have continuous as well as discrete, combinatorial properties. For example, while predominantly discrete, phonological representations also vary continuously; this is reflected by gradient effects in instrumental studies of speech production. Can an integrated theoretical framework address both aspects of structure? The framework we introduce here, Gradient Symbol Processing, characterizes the emergence of grammatical macrostructure from the Parallel Distributed Processing microstructure (McClelland, Rumelhart, & The PDP Research Group, 1986) of language processing. The mental representations that emerge, Distributed Symbol Systems, (...) have both combinatorial and gradient structure. They are processed through Subsymbolic Optimization–Quantization, in which an optimization process favoring representations that satisfy well-formedness constraints operates in parallel with a distributed quantization process favoring discrete symbolic structures. We apply a particular instantiation of this framework, λ-Diffusion Theory, to phonological production. Simulations of the resulting model suggest that Gradient Symbol Processing offers a way to unify accounts of grammatical competence with both discrete and continuous patterns in language performance. (shrink)

Mobile health applications (‘health apps’) that promise the user to help her with some aspect of her health are very popular: for-profit apps such as MyFitnessPal, Fitbit, or Headspace have tens of millions of users each. For-profit health apps are designed and run as optimization systems. One would expect that these health apps aim to optimize the health of the user, but in reality they aim to optimize user engagement and, in effect, conversion. This is problematic, I argue, because (...) digital health environments that aim to optimize user engagement risk being manipulative. To develop this argument, I first provide a brief analysis of the underlying business models and the resulting designs of the digital environments provided by popular for-profit health apps. In a second step, I present a concept of manipulation that can help analyze digital environments such as health apps. In the last part of the article, I use my concept of manipulation to analyze the manipulative potential of for-profit health apps. Although for-profit health can certainly empower their users, the conditions for empowerment also largely overlap with the conditions for manipulation. As a result, we should be cautious when embracing the empowerment discourse surrounding health apps. An additional aim of this article is to contribute to the rapidly growing literature on digital choice architectures and the ethics of influencing behavior through such choice architectures. I take health apps to be a paradigmatic example of digital choice architectures that give rise to ethical questions, so my analysis of the manipulative potential of health apps can also inform the larger literature on digital choice architectures. (shrink)

David Marr's theory of vision has been a rich source of inspiration, fascination and confusion. I will suggest that some of this confusion can be traced to discrepancies between the way Marr developed his theory in practice and the way he suggested such a theory ought to be developed in his explicit metatheoretical remarks. I will address claims that Marr's theory may be seen as an optimizing theory, along with the attendant suggestion that optimizing assumptions may be inappropriate for cognitive (...) mechanisms just as anti-adaptationists have argued they are inappropriate for other physiological mechanisms. I will discuss the nature of optimizing assumptions and theories. Considering various difficulties in identifying and assessing optimizing assumptions, I will suggest that Marr's theory is not purely an optimizing theory and that reaction to Marr on this issue prompts interesting considerations for the development of inter-disciplinary constraints in the cognitive and brain sciences. (shrink)

River water pollution by wastewater can cause significant negative impact on the aquatic sustainability. Hence, accurate modeling of this complicated system and its cost-effective treatment and reuse decision is very important because this optimization process is related to economic expenditure, societal health, and environmental deterioration. In order to optimize this complex system, we may consider three treatment or reuse options such as microscreening filtration, nitrification, and fertilization-oriented irrigation on top of two existing options such as settling and biological oxidation. (...) The objective of this environmental optimization is to minimize the economic expenditure of life cycle costs while satisfying the public health standard in terms of groundwater quality and the environmental standard in terms of river water quality. Particularly, this study improves existing optimization model by pinpointing the critical deficit location of dissolved oxygen sag curve by using analytic differentiation. Also, the proposed formulation considers more practical constraints such as maximal size of irrigation area and minimal amount of filtration treatment process. The results obtained by using an evolutionary algorithm, named a parameter-setting-free harmony search algorithm, show that the proposed model successfully finds optimal solutions while conveniently locating the critical deficit point. (shrink)

This article presents a simple derivation of optimization models for reaction networks leading to a generalized form of the mass-action law, and compares the formal structure of Minimum Information Divergence, Quadratic Programming and Kirchhoff type network models. These optimization models are used in related articles to develop and illustrate the operation of ontology alignment algorithms and to discuss closely connected issues concerning the epistemological and statistical significance of sharp or precise hypotheses in empirical science.

We introduce and study certain classes of optimization problems over the real numbers. The classes are defined by logical means, relying on metafinite model theory for so called R-structures . More precisely, based on a real analogue of Fagin's theorem [12] we deal with two classes MAX-NPR and MIN-NPR of maximization and minimization problems, respectively, and figure out their intrinsic logical structure. It is proven that MAX-NPR decomposes into four natural subclasses, whereas MIN-NPR decomposes into two. This gives a (...) real number analogue of a result by Kolaitis and Thakur [13] in the Turing model. Our proofs mainly use techniques from [17]. Finally, approximation issues are briefly discussed. (shrink)

The purpose of the study is to reveal theoretical and methodological approaches to optimizing the formation of cash flows of enterprises. The article presents an analysis of the process of integrating the optimization of the company's cash flows into the overall sequence of their management, as well as the conditions for the application of complex measures for subsequent financial recovery. The scientific novelty of the obtained results lies in the development and refinement of theoretical provisions, schemes for optimizing cash (...) flows and determining the directions for evaluating the optimization of cash flows. As a result, the main directions of optimization of cash flows are identified. As a result, it is revealed that the optimization process is formed on the basis of a logical sequence, the process of implementing management decisions regarding the optimization of the cash flows of the enterprise is justified. (shrink)

The teaching management department carries all the work related to teaching in the whole school. A scientific, efficient, and complete teaching management system cannot only help the teaching management department improve work efficiency and quality but also greatly reduce many problems caused by manual labour risk. This paper designs and implements a teaching management system based on an improved association rule algorithm. First, aiming at the low efficiency of the Apriori algorithm for mining association rules, an association rule model based (...) on interest is proposed. Second, use the MapReduce calculation model to partition the transaction database, then use the improved Apriori optimization algorithm for mining, and finally merge the mining results to obtain frequent itemsets. Through experiments, the optimized algorithm has greatly improved selection mining and computing time than traditional algorithms. (shrink)

Marketing in the social network environment integrates current advanced internet and information technologies. This marketing method not only broadens marketing channels and builds a network communication platform but also meets the purchase needs of customers in the entire market and shortens customer purchases. The process is also an inevitable product of the development of the times. However, when companies use social networks for product marketing, they usually face the impact of multiple realistic factors. This article takes the maximization of influence (...) as the main idea to find seed users for product information dissemination and also considers the users’ interest preferences. The target users can influence the product, and the company should control marketing costs to obtain a larger marginal benefit. Based on this, this paper considers factors such as the scale of information diffusion, user interest preferences, and corporate budgets, takes the influence maximization model as a multiobjective optimization problem, and proposes a multiobjective maximization of influence model. To solve the NP-hard problem of maximizing influence, this paper uses Monte Carlo sampling to calculate high-influence users. Next, a seed user selection algorithm based on NSGA-II is proposed to optimize the above three objective functions and find the optimal solution. We use real social network data to verify the performance of models and methods. Experiments show that the proposed model can generate appropriate seed sets and can meet different purposes of information dissemination. Sensitivity analysis proves that our model is robust under different actual conditions. (shrink)

The Genetic Algorithm (GA) and Simulated Annealing (SA), two techniques for global optimization, were applied to a reduced (simplified) form of the phase problem (RPP) in computational crystallography. Results were compared with those of "enhanced pair flipping" (EPF), a more elaborate problem-specific algorithm incorporating local and global searches. Not surprisingly, EPF did better than the GA or SA approaches, but the existence of GA and SA techniques more advanced than those used in this study suggest that these techniques still (...) hold promise for phase problem applications. The RPP is, furthermore, an excellent test problem for such global optimization methods. (shrink)

The topology optimization of computer communication network is studied based on improved genetic algorithm, a network optimization design model based on the establishment of network reliability maximization under given cost constraints, and the corresponding improved GA is proposed. In this method, the corresponding computer communication network cost model and computer communication network reliability model are established through a specific project, and the genetic intelligence algorithm is used to solve the cost model and computer communication network reliability model, respectively. (...) It has been proved that GA can solve the complex problems of computer working environment better, which is 80% higher than the general algorithm, and can select the optimal scheme pertinently. (shrink)

For enhancing the stability of the microgrid operation, this paper proposes an optimization model considering the small-signal stability constraint. Due to the nonsmooth property of the spectral abscissa function, the droop controller parameters’ optimization is a nonsmooth optimization problem. The Sequential Quadratic Programming with Gradient Sampling is implemented to optimize the droop controller parameters for solving the nonsmooth problem. The SQP-GS method can guarantee the solution of the optimization problem globally and efficiently converges to stationary points (...) with probability of one. In the current iteration, the gradient of the nonsmooth function can be evaluated on a set of randomly generated nearby points by computing closed-form sensitivities. A test on the microgrid system shows that the optimality and the efficiency of the SQP-GS are better than those of the heuristic algorithms. (shrink)