<P>This book is the only source that provides comprehensive, current, and correct information on problem solving using modern heuristics. It covers classic methods of optimization, including dynamic programming, the simplex method, and gradient techniques, as well as recent innovations such as simul
How to Solve It: Modern Heuristics
โ Scribed by Dr. Zbigniew Michalewicz, Dr. David B. Fogel (auth.)
- Publisher
- Springer Berlin Heidelberg
- Year
- 2000
- Tongue
- English
- Leaves
- 471
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Front Matter....Pages I-XV
Introduction....Pages 1-7
Front Matter....Pages 9-10
Why Are Some Problems Difficult to Solve?....Pages 11-30
Front Matter....Pages 31-34
Basic Concepts....Pages 35-48
Front Matter....Pages 49-53
Traditional Methods โ Part 1....Pages 55-81
Front Matter....Pages 83-86
Traditional Methods โ Part 2....Pages 87-109
Front Matter....Pages 111-114
Escaping Local Optima....Pages 115-134
Front Matter....Pages 135-138
An Evolutionary Approach....Pages 139-155
Front Matter....Pages 157-160
Designing Evolutionary Algorithms....Pages 161-184
Front Matter....Pages 185-188
The Traveling Salesman Problem....Pages 189-224
Front Matter....Pages 225-229
Constraint-Handling Techniques....Pages 231-270
Front Matter....Pages 271-276
Tuning the Algorithm to the Problem....Pages 277-301
Front Matter....Pages 303-306
Time-Varying Environments and Noise....Pages 307-330
Front Matter....Pages 331-333
Neural Networks....Pages 335-358
Front Matter....Pages 359-362
Fuzzy Systems....Pages 363-384
Front Matter....Pages 385-390
Hybrid Systems....Pages 391-401
Summary....Pages 403-414
Back Matter....Pages 415-467
โฆ Subjects
Algorithm Analysis and Problem Complexity;Complexity;Business Information Systems;Calculus of Variations and Optimal Control;Optimization;Quantitative Finance;Statistics, general
๐ SIMILAR VOLUMES
This book is the only source that provides comprehensive, current, and detailed information on problem solving using modern heuristics. It covers classic methods of optimization, including dynamic programming, the simplex method, and gradient techniques, as well as recent innovations such as simulat
This book is the only source that provides comprehensive, current, and correct information on problem solving using modern heuristics. It covers classic methods of optimization, including dynamic programming, the simplex method, and gradient techniques, as well as recent innovations such as simulate
This book is the only source that provides comprehensive, current, and correct information on problem solving using modern heuristics. It covers classic methods of optimization, including dynamic programming, the simplex method, and gradient techniques, as well as recent innovations such as simulate
This book is the only source that provides comprehensive, current, and correct information on problem solving using modern heuristics. It covers classic methods of optimization, including dynamic programming, the simplex method, and gradient techniques, as well as recent innovations such as simulate
This book is the only source that provides comprehensive, current, and correct information on problem solving using modern heuristics. It covers classic methods of optimization, including dynamic programming, the simplex method, and gradient techniques, as well as recent innovations such as simulate