Evolutionary Computation
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Beschreibung
Computational intelligence is a general term for a class of algorithms designed by nature's wisdom and human intelligence. Computer scientists have proposed many computational intelligence algorithms with heuristic features. These algorithms either mimic the evolutionary processes of the biological world, mimic the physiological structure and bodily functions of the organism, imitate the behavior of the animal's group, mimic the characteristics of human thought, language, and memory processes, or mimic the physical phenomena of nature, hoping to simulate the wisdom of nature and humanity enables an optimal solution to the problem and solves an acceptable solution in an acceptable time. Computational intelligent algorithms have received extensive attention at home and abroad, and have become an important research direction of artificial intelligence and computer science. This book will introduce the application of intelligent optimization algorithms in detail from the aspects of computational intelligence, job shop scheduling problems, multi-objective optimization problems, and machine learning
Autor*in
Gai-Ge Wang
Themen in »Evolutionary Computation«
artificial bee colony algorithm (ABC) cloud model normal cloud model Y conditional cloud generator global optimum evolution computation urban design biology shape grammar architecture SPEA 2 energy-efficient job shop scheduling dispatching rule nonlinear convergence factor