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[null,"1.","Record Nr.",null,"UNINA9910951803603321"]
[null,null,"Autore",null,"Abdul Halim Abdul Hanif"]
[null,null,"Titolo",null,"Into a Deeper Understanding of Evolutionary Computing: Exploration, Exploitation, and Parameter Control : Volume 2 / / by Abdul Hanif Abdul Halim, Swagatam Das, Idris Ismail"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024"]
[null,null,"ISBN",null,"9783031755774"]
[{"$nulls":4},"3031755774"]
[null,null,"Edizione",null,"[1st ed. 2024.]"]
[null,null,"Descrizione fisica",null,"1 online resource (467 pages)"]
[null,null,"Collana",null,"Emergence, Complexity and Computation, , 2194-7295 ; ; 51"]
[null,null,"Disciplina",null,"006.3823"]
[null,null,"Soggetti",null,"Computational intelligence"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Computational Intelligence"]
[{"$nulls":4},"Artificial Intelligence"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Location size and capacity -- Algorithm Parameters Tuning and Control -- Conclusion and Future Prospects."]
[null,null,null,"Sommario/riassunto","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."]