Recent Advances in Evolutionary Multi-objective Optimization: 20 - Brossura

Brossura

ISBN 10: 331982709X ISBN 13: 9783319827094

Casa editrice: Springer, 2018

Riassunto

This book covers the most recent advances in the field of evolutionary multiobjective optimization. With the aim of drawing the attention of up-and coming scientists towards exciting prospects at the forefront of computational intelligence, the authors have made an effort to ensure that the ideas conveyed herein are accessible to the widest audience. The book begins with a summary of the basic concepts in multi-objective optimization. This is followed by brief discussions on various algorithms that have been proposed over the years for solving such problems, ranging from classical (mathematical) approaches to sophisticated evolutionary ones that are capable of seamlessly tackling practical challenges such as non-convexity, multi-modality, the presence of multiple constraints, etc. Thereafter, some of the key emerging aspects that are likely to shape future research directions in the field are presented. These include: optimization in dynamic environments, multi-objective bilevel programming, handling high dimensionality under many objectives, and evolutionary multitasking. In addition to theory and methodology, this book describes several real-world applications from various domains, which will expose the readers to the versatility of evolutionary multi-objective optimization.

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Dalla quarta di copertina

This book covers the most recent advances in the field of evolutionary multiobjective

optimization. With the aim of drawing the attention of up-andcoming

scientists towards exciting prospects at the forefront of computational

intelligence, the authors have made an effort to ensure that the ideas conveyed

herein are accessible to the widest audience. The book begins with a summary

of the basic concepts in multi-objective optimization. This is followed by brief

discussions on various algorithms that have been proposed over the years for

solving such problems, ranging from classical (mathematical) approaches to

sophisticated evolutionary ones that are capable of seamlessly tackling practical

challenges such as non-convexity, multi-modality, the presence of multiple

constraints, etc. Thereafter, some of the key emerging aspects that are likely

to shape future research directions in the field are presented. These include:<

optimization in dynamic environments, multi-objective bilevel programming,

handling high dimensionality under many objectives, and evolutionary multitasking.

In addition to theory and methodology, this book describes several

real-world applications from various domains, which will expose the readers

to the versatility of evolutionary multi-objective optimization.

Dettagli dell'edizione

• Editore: Springer
• Data di pubblicazione: 2018
• Lingua: Inglese
• ISBN 10: 331982709X
• ISBN 13: 9783319827094
• Rilegatura: Copertina flessibile
• Numero di pagine: 192
• Redattore: Bechikh Slim, Datta Rituparna, Gupta Abhishek
• Contatto del produttore: non disponibile
• Persona responsabile: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Germania