Handbook of Global Optimization : Volume 2

Panos M Pardalos

ISBN 10: 1402006322 / ISBN 13: 9781402006326

Published by Springer Us Jun 2002, 2002

About this Item

Neuware - In 1995 the Handbook of Global Optimization (first volume), edited by R. Horst, and P.M. Pardalos, was published. This second volume of the Handbook of Global Optimization is comprised of chapters dealing with modern approaches to global optimization, including different types of heuristics.Topics covered in the handbook include various metaheuristics, such as simulated annealing, genetic algorithms, neural networks, taboo search, shake-and-bake methods, and deformation methods. In addition, the book contains chapters on new exact stochastic and deterministic approaches to continuous and mixed-integer global optimization, such as stochastic adaptive search, two-phase methods, branch-and-bound methods with new relaxation and branching strategies, algorithms based on local optimization, and dynamical search. Finally, the book contains chapters on experimental analysis of algorithms and software, test problems, and applications.

Seller Inventory # 9781402006326

Bibliographic Details

• Title: Handbook of Global Optimization : Volume 2
• Publisher: Springer Us Jun 2002
• Publication Date: 2002
• Language: English
• ISBN 10: 1402006322
• ISBN 13: 9781402006326
• Binding: Buch
• Condition: Neu

About this title

Synopsis

In 1995 the Handbook of Global Optimization (first volume), edited by R. Horst, and P.M. Pardalos, was published. This second volume of the Handbook of Global Optimization is comprised of chapters dealing with modern approaches to global optimization, including different types of heuristics.

Topics covered in the handbook include various metaheuristics, such as simulated annealing, genetic algorithms, neural networks, taboo search, shake-and-bake methods, and deformation methods. In addition, the book contains chapters on new exact stochastic and deterministic approaches to continuous and mixed-integer global optimization, such as stochastic adaptive search, two-phase methods, branch-and-bound methods with new relaxation and branching strategies, algorithms based on local optimization, and dynamical search. Finally, the book contains chapters on experimental analysis of algorithms and software, test problems, and applications.

Review

`... provide an impressive overview of the field of global optimization. ... clearly written ... coherent and comprehensive survey of the topic at hand ... woven the material together so that the relationships among the topics covered become evident. ... knowledge, insight and maturity that the authors bring to their respective topics make the book a pleasure to read. ... constitute an extraordinary sourcebook ... I highly recommend this outstanding volume to anyone interested in global optimization.'
Journal of Global Optimization, 9 (1996)