02911nam a22005415i 4500 978-3-031-75577-4 DE-He213 20251030114927.0 cr nn 008mamaa 250118s2024 sz | s |||| 0|eng d 9783031755774 978-3-031-75577-4 10.1007/978-3-031-75577-4 doi Q342 UYQ bicssc COM004000 bisacsh UYQ thema Abdul Halim, Abdul Hanif. author. aut http://id.loc.gov/vocabulary/relators/aut 87342 Into a Deeper Understanding of Evolutionary Computing: Exploration, Exploitation, and Parameter Control [electronic resource] : Volume 2 / by Abdul Hanif Abdul Halim, Swagatam Das, Idris Ismail. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XVI, 320 p. 94 illus., 12 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Emergence, Complexity and Computation, 2194-7295 ; 51 Location size and capacity -- Algorithm Parameters Tuning and Control -- Conclusion and Future Prospects. This book delves into fundamental and advanced strategies for enhancing evolutionary and metaheuristic algorithms, focusing on the vital balance between exploration and exploitation search mechanisms. As technological advancements increase optimization complexity, effectively managing this balance becomes crucial for achieving optimal solutions within reasonable computational resources. The book's distinctive structure organizes content according to optimization stages, offering a comprehensive discussion of various approaches supported by extensive literature. Computational intelligence. 64052 Artificial intelligence. 58441 Computational Intelligence. 64052 Artificial Intelligence. 58441 Das, Swagatam. author. aut http://id.loc.gov/vocabulary/relators/aut 71493 Ismail, Idris. author. aut http://id.loc.gov/vocabulary/relators/aut 87343 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031755767 Printed edition: 9783031755781 Printed edition: 9783031755798 Emergence, Complexity and Computation, 2194-7295 ; 51 87344 https://doi.org/10.1007/978-3-031-75577-4 ZDB-2-INR ZDB-2-SXIT 66456 66456