| 期刊全称 | Bioinspired Computation in Combinatorial Optimization | | 期刊简称 | Algorithms and Their | | 影响因子2023 | Frank Neumann,Carsten Witt | | 视频video | | | 发行地址 | Authors have given tutorials on this topic at major international conferences.Text has been class-tested by the authors and their collaborators.Comprehensive introduction for researchers.Includes supp | | 学科分类 | Natural Computing Series | | 图书封面 |  | | 影响因子 | .Bioinspired computation methods such as evolutionary algorithms and ant colony optimization are being applied successfully to complex engineering problems and to problems from combinatorial optimization, and with this comes the requirement to more fully understand the computational complexity of these search heuristics. This is the first textbook covering the most important results achieved in this area. .The authors study the computational complexity of bioinspired computation and show how runtime behavior can be analyzed in a rigorous way using some of the best-known combinatorial optimization problems -- minimum spanning trees, shortest paths, maximum matching, covering and scheduling problems. A feature of the book is the separate treatment of single- and multiobjective problems, the latter a domain where the development of the underlying theory seems to be lagging practical successes..This book will be very valuable for teaching courses on bioinspired computation and combinatorial optimization. Researchers will also benefit as the presentation of the theory covers the most important developments in the field over the last 10 years. Finally, with a focus on well-studied combin | | Pindex | Textbook 2010 |
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发表于 2025-3-21 18:45:58
