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Kniha Meta-Heuristics Ibrahim H. Osman

Meta-Heuristics

Theory and Applications

Autor: Ibrahim H. Osman, James P. Kelly
Jazyk: Angličtina
Väzba: Pevná
Vydavateľ: Springer
Dostupnosť: Skladom u dodávateľa
Odosielame za 10-13 dní
298.30 €
Meta-heuristics have developed dramatically since their inception in the early 1980s. They have had...

Informácie o knihe

Autor
Ibrahim H. Osman, James P. Kelly
Jazyk
Angličtina
Väzba
Kniha - Pevná
Vydalo
1996
Stránok
690
EAN
9780792397007
ISBN
0792397002
Enbook ID
01398399
Vydavateľ
Springer
Hmotnosť
1132
Rozmery
167 x 237 x 45

Kompletný popis

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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