Results 11 to 20 of about 329,581 (308)
Extending Genetic Algorithms with Biological Life-Cycle Dynamics [PDF]
BiomimeticsIn this paper, we aim to enhance genetic algorithms (GAs) by integrating a dynamic model based on biological life cycles. This study addresses the challenge of maintaining diversity and adaptability in GAs by incorporating stages of birth, growth ...
J. C. Felix-Saul +3 more
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Genetic algorithms with memory- and elitism-based immigrants in dynamic environments [PDF]
, 2008 Copyright @ 2008 by the Massachusetts Institute of TechnologyIn recent years the genetic algorithm community has shown a growing interest in studying dynamic optimization problems. Several approaches have been devised.
Yang, S, Yang, Shengxiang
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Population Symmetrization in Genetic Algorithms
Applied Sciences, 2022 The paper presents a memetic modification of the classical genetic algorithm by introducing a cyclic symmetrization of the population, symmetrizing the parental points around the current population leader.
Grzegorz Kusztelak +2 more
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Non-uniform cellular genetic algorithms [PDF]
Компьютерные исследования и моделирование, 2015 In this paper, we introduce the concept of non-uniform cellular genetic algorithm, in which a number of parameters that affect the operation of genetic operators is dependent on the location of the cells of a given cellular space.
N. M. Ershov
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Three Proposed Hybrid Genetic Algorithms [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2013 Genetic Algorithm has been hybridized with classical optimization methods. Hybridization has been done in three approaches, by using conjugate gradient algorithm for Fletcher and Reeves, second by using steepest descent method and lastly by creation of ...
Ban Mitras, Nada Hassan
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Optimisation of the weighting functions of an H∞ controller using genetic algorithms and structured genetic algorithms [PDF]
, 2008 In this paper the optimisation of the weighting functions for an H<sub>∞</sub> controller using genetic algorithms and structured genetic algorithms is considered. The choice of the weighting functions is one of the key steps in the design of
McGookin, E.W. +2 more
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Fuzzy Approach to Student-Project Allocation (SPA) Problem
IEEE Access, 2019 This paper presents a novel algorithm for solving a Student-Project Allocation problem, a variation of a two-sided matching algorithm, where a large number of students are allocated to numerous projects with limited available allocation places.
V. Paunovic +3 more
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Proceedings of the Genetic and Evolutionary Computation Conference, 2017 For genetic algorithms using a bit-string representation of length~$n$, the general recommendation is to take $1/n$ as mutation rate. In this work, we discuss whether this is really justified for multimodal functions. Taking jump functions and the $(1+1)$ evolutionary algorithm as the simplest example, we observe that larger mutation rates give ...
Benjamin Doerr +3 more
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CoRR, 2021 Death has long been overlooked in evolutionary algorithms. Recent research has shown that death (when applied properly) can benefit the overall fitness of a population and can outperform sub-sections of a population that are "immortal" when allowed to evolve together in an environment [1].
Micah Burkhardt, Roman V. Yampolskiy
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Niching genetic algorithms for optimization in electromagnetics. I. Fundamentals [PDF]
, 1998 Niching methods extend genetic algorithms and permit the investigation of multiple optimal solutions in the search space. In this paper, we review and discuss various strategies of niching for optimization in electromagnetics.
Sareni, Bruno +2 more
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