Advances in Multi-Objective Nature Inspired Computing
Language: English
Published by Springer Berlin Heidelberg, 2012
- Softcover
- New
Condition: New
£ 119.01
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Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Recent research in multi-objective nature inspired computingThe purpose of this book is to collect contributions that deal with the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems. Such a c.
Seller Inventory # 5054308
- Title
- Advances in Multi-Objective Nature Inspired Computing
- Author
- Coello Coello, Carlos A.|Dhaenens, Clarisse|Jourdan, Laetitia
- Publisher
- Springer Berlin Heidelberg
- Publication year
- 2012
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3642262384
- ISBN 13
- 9783642262388
- Seller catalogs
- Mathematik/Naturwissenschaften/Technik/Medizin
The purpose of this book is to collect contributions that deal with the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems. Such a collection intends to provide an overview of the state-of-the-art developments in this field, with the aim of motivating more researchers in operations research, engineering, and computer science, to do research in this area. As such, this book is expected to become a valuable reference for those wishing to do research on the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems.
"Synopsis" may belong to another edition of this title.
From the Back Cover
The purpose of this book is to collect contributions that deal with the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems. Such a collection intends to provide an overview of the state-of-the-art developments in this field, with the aim of motivating more researchers in operations research, engineering, and computer science, to do research in this area. As such, this book is expected to become a valuable reference for those wishing to do research on the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems.
"About the title" may belong to another edition of this title.
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