02620nam 22005775 450 991095180360332120251113174926.09783031755774303175577410.1007/978-3-031-75577-4(MiAaPQ)EBC31882481(Au-PeEL)EBL31882481(CKB)37248675900041(OCoLC)1498717000(DE-He213)978-3-031-75577-4(EXLCZ)993724867590004120250118d2024 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierInto a Deeper Understanding of Evolutionary Computing: Exploration, Exploitation, and Parameter Control Volume 2 /by Abdul Hanif Abdul Halim, Swagatam Das, Idris Ismail1st ed. 2024.Cham :Springer Nature Switzerland :Imprint: Springer,2024.1 online resource (467 pages)Emergence, Complexity and Computation,2194-7295 ;519783031755767 3031755766 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.Emergence, Complexity and Computation,2194-7295 ;51Computational intelligenceArtificial intelligenceComputational IntelligenceArtificial IntelligenceComputational intelligence.Artificial intelligence.Computational Intelligence.Artificial Intelligence.006.3823Abdul Halim Abdul Hanif1775450Das Swagatam1372955Ismail Idris1775451MiAaPQMiAaPQMiAaPQBOOK9910951803603321Into a Deeper Understanding of Evolutionary Computing: Exploration, Exploitation, and Parameter Control4462612UNINA