An introduction to genetic algorithms

作者: Kalyanmoy Deb

DOI: 10.1007/BF02823145

关键词: Multi-objective optimizationMathematical optimizationEngineering optimizationMetaheuristicMulti-swarm optimizationDerivative-free optimizationMeta-optimizationProbabilistic-based design optimizationComputer scienceContinuous optimization

摘要: Genetic algorithms (GAs) are search and optimization tools, which work differently compared to classical methods. Because of their broad applicability, ease use, global perspective, GAs have been increasingly applied various problems in the recent past. In this paper, a brief description simple GA is presented. Thereafter, handle constrained described. population approach, they also extended solve other efficiently, including multimodal, multiobjective scheduling problems, as well fuzzy-GA neuro-GA implementations. The purpose paper familiarize readers concept scope application.

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