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[null,"1.","Record Nr.",null,"UNINA9911003689003321"]
[null,null,"Autore",null,"Das Debashish"]
[null,null,"Titolo",null,"Optimization algorithms in machine learning : a meta-heuristics perspective / / by Debashish Das, Ali Safaa Sadiq, Seyedali Mirjalili"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer, , [2025]"]
[{"$nulls":4},"©2025"]
[null,null,"ISBN",null,"9789819638499"]
[null,null,"Descrizione fisica",null,"1 online resource (xvii, 181 pages) : illustrations"]
[null,null,"Collana",null,"Engineering optimization: methods and applications, , 2731-4057"]
[null,null,"Disciplina",null,"006.3"]
[null,null,"Soggetti",null,"Computational intelligence"]
[{"$nulls":4},"Machine learning"]
[{"$nulls":4},"Mathematical optimization"]
[{"$nulls":4},"Computational Intelligence"]
[{"$nulls":4},"Machine Learning"]
[{"$nulls":4},"Optimization"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"Challenges and opportunities in Machine Learning using optimization techniques -- Optimization methods: traditional versus stochastic -- Heuristic and meta-heuristic optimization algorithms -- A comprehensive review of evolutionary algorithms and swarm intelligence methods -- Artificial Neural Networks: structure and learning -- A survey of Neural Networks trained by optimization algorithms and meta-heuristics."]
[null,null,null,"Sommario/riassunto","This book explores the development of several new learning algorithms that utilize recent optimization techniques and meta-heuristics. It addresses well-known models such as particle swarm optimization, genetic algorithm, ant colony optimization, evolutionary strategy, population-based incremental learning, and grey wolf optimizer for training neural networks. Additionally, the book examines the challenges associated with these processes in detail. This volume will serve as a valuable reference for individuals in both academia and industry. ."]