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Differential Evolution: In Search of Solutions

by Vitaliy Feoktistov
Save 35% Save 35%
Current price ₹3,672.00
Original price ₹5,649.00
Original price ₹5,649.00
Original price ₹5,649.00
(-35%)
₹3,672.00
Current price ₹3,672.00

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Book cover type: Hardcover
  • ISBN13: 9780387368955
  • Binding: Hardcover
  • Subject: N/A
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Publication Date:
  • Pages: 196
  • Original Price: EUR 49.99
  • Language: English
  • Edition: 2006
  • Item Weight: 486 grams
  • BISAC Subject(s): Linear & Nonlinear Programming, Artificial Intelligence / General, and Programming / Algorithms

From the Back Cover

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

Audience

Differential Evolution will be of interest to 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.

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