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Product Details 基本信息 ISBN-13 书号 9783319811666 Format 版本 平装-胶订 Publisher 出版社 Springer Publication Date 出版日期 2018-06-17 Language 语种 英语
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Product Details 基本信息 ISBN-13 书号 9783030705411 Author 作者 Diego Oliva Format 版本 精装 Pages Number 页数 null页 Publisher 出版社 Springer Berlin Heidelberg Publication Date 出版日期 2021-06-28 Language 语种 其它(含多语) Book Contents 内容简介 This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, machine learning, and deep learning. The chapters were classified based on the content; then, the sections are thematic. Different applications and implementations are included; in this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms.The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational
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Product Details 基本信息 ISBN-13 书号 9783030705442 Author 作者 Diego Oliva Format 版本 平装-胶订 Pages Number 页数 788页 Publisher 出版社 Springer Berlin Heidelberg Publication Date 出版日期 2022-07-14 Product Dimensions 商品尺寸 9.21 x 6.14 x 1.57 Shipping Weight 商品重量 2.39 Language 语种 其它(含多语) Book Contents 内容简介 This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, machine learning, and deep learning. The chapters were classified based on the content; then, the sections are thematic. Different applications and implementations are included; in this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms.The chapters were compiled using a scientific perspective. Accordingly, the book is pri
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