Results 11 to 20 of about 788,042 (240)
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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Incremental multiple objective genetic algorithms [PDF]
, 2004 This paper presents a new genetic algorithm approach to multi-objective optimization problemsIncremental Multiple Objective Genetic Algorithms (IMOGA).
Chen, Q, Guan, SU
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A comparative study of immune system based genetic algorithms in dynamic environments [PDF]
, 2006 Copyright @ 2006 ACMDiversity and memory are two major mechanisms used in biology to keep the adaptability of organisms in the ever-changing environment in nature.
Yang, S
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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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Cosmological Parameter Estimation with Genetic Algorithms
Universe, 2023 Genetic algorithms are a powerful tool in optimization for single and multimodal functions. This paper provides an overview of their fundamentals with some analytical examples.
Ricardo Medel-Esquivel +4 more
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Using Genetic Algorithms with Variable-length Individuals for Planning Two-Manipulators Motion [PDF]
, 1998 International Conference on Artificial Neural Networks and Genetic Algorithms. 01/01/1997. NorwichA method based on genetic algorithms for obtaining coordinated motion plans of manipulator robots is presented. A decoupled planning approach has been used;
Camacho, Eduardo F. +3 more
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A new method for decoding an encrypted text by genetic algorithms and its comparison with tabu search and simulated annealing [PDF]
Management Science Letters, 2014 Genetic Algorithm is an algorithm based on population and many optimization problems are solved with this method, successfully. With increasing demand for computer attacks, security, efficient and reliable Internet has increased.
Mahdi Sadeghzadeh, Mahsa Taherbaghal
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Anisotropic selection in cellular genetic algorithms [PDF]
, 2006 In this paper we introduce a new selection scheme in cellular genetic algorithms (cGAs). Anisotropic Selection (AS) promotes diversity and allows accurate control of the selective pressure.
Clergue, Manuel +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.
Shengxiang Yang, Trojanowski K.
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Zooming in, Zooming Out: A Framework for Hierarchical Genetic Algorithms [PDF]
Journal of Systemics, Cybernetics and Informatics, 2014 We present a framework of algorithms and techniques involving hierarchical genetic algorithms. These algorithms attempt to generate models and solutions at both the structural and atomic levels simultaneously using atomic and global chromosomes.
Jennifer Seitzer
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