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Found 4 from your keywords: subject=", Optimization"
cover
Design of Heuristic Algorithms for Hard Optimization
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Éric D. Taillard

This open access book demonstrates all the steps required to design heuristic algorithms for difficult optimization. The classic problem of the travelling salesman is used as a common thread to illustrate all the techniques discussed. This problem is ideal for introducing readers to the subject because it is very intuitive and its solutions can be graphically represented. The book features a we…

Edition
1
ISBN/ISSN
978-3-031-13714-3
Collation
-
Series Title
Graduate Texts in Operations Research
Call Number
XV, 287
cover
A First Course in Combinatorial Optimization
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LEE,Jon

A First Course in Combinatorial Optimization is a text for a one-semester introductory graduate-level course for students of operations research, mathematics, and computer science. It is a self-contained treatment of the subject, requiring only some mathematical maturity. Topics include: linear and integer programming, polytopes, matroids and matroid optimization, shortest paths, and network fl…

Edition
-
ISBN/ISSN
9780511616655
Collation
-
Series Title
Cambridge Texts in Applied Mathematics (36)
Call Number
-
cover
Introduction to Evolutionary Computing
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A.E. Eiben, J.E. Smith

The overall structure of this new edition is three-tier: Part I presents the basics, Part II is concerned with methodological issues, and Part III discusses advanced topics. In the second edition the authors have reorganized the material to focus on problems, how to represent them, and then how to choose and design algorithms for different representations. They also added a chapter on problems,…

Edition
-
ISBN/ISSN
978-3-662-44874-8
Collation
-
Series Title
-
Call Number
-
cover
Multimodal Optimization by Means of Evolutionary Algorithms
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PREUSS Mike

This book offers the first comprehensive taxonomy for multimodal optimization algorithms, work with its root in topics such as niching, parallel evolutionary algorithms, and global optimization. The author explains niching in evolutionary algorithms and its benefits; he examines their suitability for use as diagnostic tools for experimental analysis, especially for detecting problem (type) p…

Edition
1
ISBN/ISSN
978-3-319-07406-1
Collation
XX, 189
Series Title
Natural Computing Series
Call Number
-