Results 11 to 20 of about 321,863 (350)
Evolving Evolutionary Algorithms with Patterns [PDF]
Soft Computing, Springer-Verlag Vol. 11, Issue 6, pp. 503-518,
2007, 2021 A new model for evolving Evolutionary Algorithms (EAs) is proposed in this paper. The model is based on the Multi Expression Programming (MEP) technique. Each MEP chromosome encodes an evolutionary pattern that is repeatedly used for generating the individuals of a new generation. The evolved pattern is embedded into a standard evolutionary scheme that
arxiv +1 more source
Evolutionary Algorithms in a Bacterial Consortium of Synthetic Bacteria
Algorithms, 2023 At present, synthetic biology applications are based on the programming of synthetic bacteria with custom-designed genetic circuits through the application of a top-down strategy. These genetic circuits are the programs that implement a certain algorithm,
Sara Lledó Villaescusa +1 more
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Shuffled Frog-Leaping Programming for Solving Regression Problems [PDF]
Journal of Artificial Intelligence and Data Mining, 2020 There are various automatic programming models inspired by evolutionary computation techniques. Due to the importance of devising an automatic mechanism to explore the complicated search space of mathematical problems where numerical methods fails ...
M. Abdollahi, M. Aliyari Shoorehdeli
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Chaotic Evolutionary Programming for an Engineering Optimization Problem
Applied Sciences, 2021 The aim of the current paper is to present a mimetic algorithm called the chaotic evolutionary programming Powell’s pattern search (CEPPS) algorithm for the solution of the multi-fuel economic load dispatch problem.
Nirbhow Jap Singh +5 more
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Evolutionary System Design with Answer Set Programming
Algorithms, 2023 We address the problem of evolutionary system design (ESD) by means of answer set programming modulo difference constraints (AMT). The goal of this design approach is to synthesize new product variants or generations from existing products.
Christian Haubelt +4 more
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A Preliminary Study of Knowledge Transfer in Multi-Classification Using Gene Expression Programming
Frontiers in Neuroscience, 2020 Gene Expression Programming (GEP), a variant of Genetic Programming (GP), is a well established technique for automatic generation of computer programs.
Tingyang Wei +2 more
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IEEE Access, 2022 Dispatching rules are most commonly used to solve scheduling problems under dynamic conditions. Since designing new dispatching rules is a time-consuming process, it can be automated by using various machine learning and evolutionary computation methods.
Lucija Planinic +3 more
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The Effect of Multi-Generational Selection in Geometric Semantic Genetic Programming
Applied Sciences, 2022 Among the evolutionary methods, one that is quite prominent is genetic programming. In recent years, a variant called geometric semantic genetic programming (GSGP) was successfully applied to many real-world problems.
Mauro Castelli +4 more
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Supply Chain Management Using Evolutionary Algorithms [PDF]
Problemi EkonomikiThe era of digital transformation has made it possible to accumulate large amounts of data that can be used in the decision-making process, in particular in supply chain management.
Skitsko Volodymyr I. +1 more
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Evolutionary program in sociology [PDF]
Socioloski pregled, 2009 The paper discusses possibilities of evolutionary program in sociology that was neglected for the most part of the 20th century. The reasons for this situation were political, ideological and intellectual. It is argued that sociology can prosper only through intellectual cooperation with evolutionary biology, because Neodarwinian paradigm is one of the
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