Khosravy, Mahdi. editor. edt http://id.loc.gov/vocabulary/relators/edt Gupta, Neeraj. editor. edt http://id.loc.gov/vocabulary/relators/edt Witkowski, Olaf. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text si 2024 1st ed. 2024. monographic eng

electronic

electronic resource

access XIV, 287 p. 90 illus., 48 illus. in color. online resource. 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. 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. edited by Mahdi Khosravy, Neeraj Gupta, Olaf Witkowski. Computational intelligence Algorithms Mathematical optimization Building information modeling Computational Intelligence Algorithms Optimization Building Information Modeling Q342 9789819981076 https://doi.org/10.1007/978-981-99-8107-6 https://doi.org/10.1007/978-981-99-8107-6 240220 20251030111435.0 978-981-99-8107-6