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Differential Evolution
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Differential Evolution

Differential Evolution

In Search of Solutions

Vitaliy Feoktistov - Collection Optimization and its Applications

198 pages, parution le 29/01/2007

Résumé

The human being aspires to the best possible performance. Both individuals and enterprises are looking for optimal - in other words, the best possible - solutions for situations or problems they face. Most of these problems can be expressed in mathematical terms, and so the methods of optimization undoubtedly render a significant aid.

In cases where there are many local optima; intricate constraints; mixed-type variables; or noisy, time-dependent or otherwise ill-defined functions, the usual methods don't give satisfactory results. Are you seeking fresh ideas or more efficient methods, or do you perhaps want to be well-informed about the latest achievements in optimization? If so, this book is for you.

This book develops a unified insight on population-based optimization through Differential Evolution, one of the most recent and efficient optimization algorithms. You will find, in this book, everything concerning Differential Evolution and its application in its newest formulation. This book will be a valuable source of information for a very large readership, including researchers, students and practitioners. The text may be used in a variety of optimization courses as well.

Features include: Neoteric view of Differential Evolution; Unique formula of global optimization; the best known metaheuristics through the prism of Differential Evolution; Revolutionary ideas in population-based optimization.

Written for:

Students, teachers, engineers, and researchers from various fields, including computer science, applied mathematics, optimization and operations research, artificial evolution and evolutionary algorithms, telecommunications, engineering design, bioinformatics and computational chemistry, chemical engineering, mechanical engineering, electrical engineering, and physics

Sommaire

  • Differential Evolution
  • Neoteric Differential Evolution
  • Strategies of Search
  • Exploration and Exploitation
  • New Performance Measures
  • Transversal Differential Evolution
  • On Analogy with Some Other Algorithms
  • Energetic Selection Principle
  • On Hybridization of Differential Evolution
  • Applications
  • End Notes
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Caractéristiques techniques

  PAPIER
Éditeur(s) Springer
Auteur(s) Vitaliy Feoktistov
Collection Optimization and its Applications
Parution 29/01/2007
Nb. de pages 198
Format 16 x 24
Couverture Relié
Poids 490g
Intérieur Noir et Blanc
EAN13 9780387368955
ISBN13 978-0-387-36895-5

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