Ditemukan 5 dokumen yang sesuai dengan query
Sanchez, Ernesto, author
Industrial applications of evolutionary algorithms is intended as a resource for both experienced users of evolutionary algorithms and researchers that are beginning to approach these fascinating optimization techniques.
Experienced users will find interesting details of real-world problems, advice on solving issues related to fitness computation or modeling, and suggestions on how...
Berlin: [Springer, ], 2012
e20398410
eBooks Universitas Indonesia Library
Classification is an important topic in data mining research . A classification problem on the discovery of classification reles that correctly classify an unkown member of a class......
Artikel Jurnal Universitas Indonesia Library
This book describes different approaches for solving industrial problems like product design, process optimization, quality enhancement, productivity improvement and cost minimization. Several optimization techniques are described. The book covers case studies on the applications of classical as well as evolutionary and swarm optimization tools for solving industrial issues. The content...
Switzerland: Springer Cham, 2019
e20502881
eBooks Universitas Indonesia Library
Liu, Jing, author
This book introduces the linkage between evolutionary computation and complex networks and the advantages of cross-fertilising ideas from both fields. Instead of introducing each field individually, the authors focus on the research that sits at the interface of both fields. The book is structured to address two questions: (1) how...
Switzerland: Springer Cham, 2019
e20502739
eBooks Universitas Indonesia Library
Liu, Jing, author
This book introduces the linkage between evolutionary computation and complex networks and the advantages of cross-fertilising ideas from both fields. Instead of introducing each field individually, the authors focus on the research that sits at the interface of both fields. The book is structured to address two questions: (1) how...
Switzerland: Springer Cham, 2019
e20502739
eBooks Universitas Indonesia Library
