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Meta-Heuristics - Theory and Applications (Hardcover, 1996 ed.)
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Meta-Heuristics - Theory and Applications (Hardcover, 1996 ed.)
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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.
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