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Meta-Heuristics
Meta-Heuristics
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Meta-Heuristics

Theory and Applications
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Description

Meta-heuristics have developed dramatically since their inception in the early 1980s. They have had widespread success in attacking a variety of practical and difficult combinatorial optimization problems. These families of approaches include, but are not limited to greedy random adaptive search procedures, genetic algorithms, problem-space search, neural networks, simulated annealing, tabu search, threshold algorithms, and their hybrids. They incorporate concepts based on biological evolution, intelligent problem solving, mathematical and physical sciences, nervous systems, and statistical mechanics. Since the 1980s, a great deal of effort has been invested in the field of combinatorial optimization theory in which heuristic algorithms have become an important area of research and applications. This volume is drawn from the first conference on Meta-Heuristics and contains 41 papers on the state-of-the-art in heuristic theory and applications. The book treats the following meta-heuristics and applications: Genetic Algorithms, Simulated Annealing, Tabu Search, Networks & Graphs, Scheduling and Control, TSP, and Vehicle Routing Problems. It represents research from the fields of Operations Research, Management Science, Artificial Intelligence and Computer Science.
Release date Australia
September 26th, 2011
Audience
  • Professional & Vocational
Contributors
  • Edited by Ibrahim H Osman
  • Edited by James P. Kelly
Edition
Softcover reprint of the original 1st ed. 1996
Illustrations
X, 690 p.
Pages
690
Dimensions
156x234x35
ISBN-13
9781461285878
Product ID
20769329

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