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Full Description
This book reviews recent advances in theory and applications of genetic algorithm (GA). The book is composed of five parts; Part 1 of the book involves the chapters about the advances in GA theory. Part 2 concerns applications in health, society, and economy. Part 3 has an inclusive focus on application in power systems, and Part 4 concerns the applications of GA in electrical vehicle industries. Finally, Part 5 includes applications in signal and image processing.
Contents
Evolutionary Computation: Perspectives on Past and Future.- Genetic Algorithms: A Technical Implementation of Natural Evolution.- Mating In Genetic Algorithm With Application In System Identification.- A Hybrid Biased Random-Key Genetic Algorithm for the Container Relocation Problem.- Genetic Algorithm and Its Applications in Power Systems.