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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 ...
Doerr, Benjamin +3 more
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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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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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Genetic K-means algorithm [PDF]
IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 1999 In this paper, we propose a novel hybrid genetic algorithm (GA) that finds a globally optimal partition of a given data into a specified number of clusters. GA's used earlier in clustering employ either an expensive crossover operator to generate valid child chromosomes from parent chromosomes or a costly fitness function or both.
Krishna, K, Murty, Narasimha M
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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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Model Parametrization-Based Genetic Algorithms Using Velocity Signal and Steady State of the Dynamic Response of a Motor. [PDF]
Biomimetics (Basel)Cruz-Fernández M +6 more
europepmc +3 more sources
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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Self-selection of evolutionary strategies: adaptive versus non-adaptive forces
Heliyon, 2021 The evolution of complex genetic networks is shaped over the course of many generations through multiple mechanisms. These mechanisms can be broken into two predominant categories: adaptive forces, such as natural selection, and non-adaptive forces, such
Matthew Putnins, Ioannis P. Androulakis
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IET Radar, Sonar & Navigation, 2021 The performance of the distributed coherent aperture radar (DCAR) is heavily influenced by the antenna positions. Therefore, an antenna position optimization method is proposed based on the adaptive genetic algorithm with a self‐supervised differential ...
Xiaopeng Yang +5 more
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