Recent advances in evolutionary multi objective optimization
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This book covers the most recent advances in the field of evolutionary multiobjective optimization. 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.
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:
Taal: en
Bindwijze: Hardcover
Oorspronkelijke releasedatum: 18 augustus 2016
Aantal pagina's: 188
Illustraties: Nee
Hoofdredacteur: Slim Bechikh
Tweede Redacteur: Rituparna Datta
Co Redacteur: Abhishek Gupta
Hoofduitgeverij: Springer International Publishing Ag
Editie: 1st ed. 2017
Extra groot lettertype: Nee
Product breedte: 155 mm
Product lengte: 235 mm
Studieboek: Ja
Verpakking breedte: 155 mm
Verpakking hoogte: 235 mm
Verpakking lengte: 235 mm
Verpakkingsgewicht: 4144 g
EAN: 9783319429779