03147nam a22005895i 4500 978-981-99-8107-6 DE-He213 20251030111435.0 cr nn 008mamaa 240220s2024 si | s |||| 0|eng d 9789819981076 978-981-99-8107-6 10.1007/978-981-99-8107-6 doi Q342 UYQ bicssc COM004000 bisacsh UYQ thema Frontiers in Genetics Algorithm Theory and Applications [electronic resource] / edited by Mahdi Khosravy, Neeraj Gupta, Olaf Witkowski. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XIV, 287 p. 90 illus., 48 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Springer Tracts in Nature-Inspired Computing, 2524-5538 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. 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. Computational intelligence. 64052 Algorithms. 58677 Mathematical optimization. 65522 Building information modeling. Computational Intelligence. 64052 Algorithms. 58677 Optimization. 65528 Building Information Modeling. Khosravy, Mahdi. editor. edt http://id.loc.gov/vocabulary/relators/edt 71439 Gupta, Neeraj. editor. edt http://id.loc.gov/vocabulary/relators/edt 71440 Witkowski, Olaf. editor. edt http://id.loc.gov/vocabulary/relators/edt 71441 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819981069 Printed edition: 9789819981083 Printed edition: 9789819981090 Springer Tracts in Nature-Inspired Computing, 2524-5538 71076 https://doi.org/10.1007/978-981-99-8107-6 ZDB-2-INR ZDB-2-SXIT 57764 57764