Evolutionary Multi-Criterion Optimization : 5th International Conference, EMO 2009, Nantes, France, April 7-10, 2009, Proceedings

Carlos M. Fonseca

ISBN 10: 3642010199 / ISBN 13: 9783642010194

Verlag: Springer Berlin Heidelberg, 2009

Beschreibung

Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 5th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2009, held in Nantes, France in April 2009. The 39 revised full papers presented together with 5 invited talks were carefully reviewed and selected from 72 submissions. The papers are organized in topical sections on theoretical analysis, uncertainty and noise, algorithm development, performance analysis and comparison, applications, MCDM Track, Many objectives, alternative methods, as well as EMO and MCDA.

Bestandsnummer des Verkäufers 9783642010194

Bibliografische Details

• Titel: Evolutionary Multi-Criterion Optimization : 5th International Conference, EMO 2009, Nantes, France, April 7-10, 2009, Proceedings
• Verlag: Springer Berlin Heidelberg
• Erscheinungsjahr: 2009
• Sprache: Englisch
• ISBN-10: 3642010199
• ISBN-13: 9783642010194
• Einband: Taschenbuch
• Zustand: Neu
• Abmessungen: 235B x 155 H x 33 T Millimeter Breite: 235 mm, Höhe: 155 mm, Tiefe: 33 mm
• Gewicht: 902 Gramm

Über diesen Titel

Inhaltsangabe

Multi-criterionoptimizationreferstooptimizationproblemswithtwoormore- jectives expressing con?icting goals that are formulated within a mathematical programming framework. The problems addressed may involve linear or nonl- ear objective functions and/or constraints, continuous or discrete variables, and may or may not be a?ected by uncertainty in the data. This branch of multiple criteria decision making (MCDM) ?nds application in numerous domains: en- neering design, health, transportation,telecommunications, bioinformatics, etc. The concept of a unique optimal solution does not apply as soon as multiple objectives are optimized simultaneously. The models and methods introduced in multi-criterion optimization deal with the concept of a set of e?cient (also called Pareto optimal) solutions. E?cient solutions imply trade-o?s between the di?erentcriteria. Thecomputationofthee?cientsolutionsetmaybehardwhen the size of the problem is large, when the problem is computationally complex, when the data are not crisp. It is then often impossible to guarantee the com- tation of exact solutions. In that case, approximate solutions, i. e. , sub-optimal solutionscomputedwithlimitedandcontrolledresources,suchasavailabletime, are of interest. This is the domain of multi-objective metaheuristics, of which evolutionary multi-criterion optimization (EMO) is de?nitely the most pro- nent representative. The success of EMO is due to the simplicity of its concepts and the generality of its methods, and is clearly expressed by the many impr- sive success stories reported in the literature. Research activities in EMO have boomed since the mid-1990s. Three g- erations of work are identi?able throughout the years.

Von der hinteren Coverseite

This book constitutes the refereed proceedings of the 5th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2009, held in Nantes, France in April 2009.

The 39 revised full papers presented together with 5 invited talks were carefully reviewed and selected from 72 submissions. The papers are organized in topical sections on theoretical analysis, uncertainty and noise, algorithm development, performance analysis and comparison, applications, MCDM Track, Many objectives, alternative methods, as well as EMO and MCDA.