How to solve it: modern heuristics. 2nd revised and extended ed. (English) Zbl 1058.68105
Berlin: Springer (ISBN 3-540-22494-7/hbk). xviii, 554 p. (2004).
For a review of the first edition (2000) see Zbl 0943.90002.
Publisher’s description: 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 simulated annealing, tabu search, and evolutionary computation. Integrated into the discourse is a series of problems and puzzles to challenge the reader. The book is written in a lively, engaging style and is intended for students and practitioners alike. Anyone who reads and understands the material in the book will be armed with the most powerful problem solving tools currently known.
This second edition contains two new chapters, one on coevolutionary systems and one on multicriterial decision-making. Also some new puzzles are added and various subchapters are revised.
Publisher’s description: 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 simulated annealing, tabu search, and evolutionary computation. Integrated into the discourse is a series of problems and puzzles to challenge the reader. The book is written in a lively, engaging style and is intended for students and practitioners alike. Anyone who reads and understands the material in the book will be armed with the most powerful problem solving tools currently known.
This second edition contains two new chapters, one on coevolutionary systems and one on multicriterial decision-making. Also some new puzzles are added and various subchapters are revised.
MSC:
| 68T20 | Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) |
| 90C59 | Approximation methods and heuristics in mathematical programming |
| 90-01 | Introductory exposition (textbooks, tutorial papers, etc.) pertaining to operations research and mathematical programming |
| 65-01 | Introductory exposition (textbooks, tutorial papers, etc.) pertaining to numerical analysis |
| 68-01 | Introductory exposition (textbooks, tutorial papers, etc.) pertaining to computer science |
| 68W05 | Nonnumerical algorithms |
| 68T05 | Learning and adaptive systems in artificial intelligence |
