Meta-Heuristics: Theory and Applications
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 pro...
Gespeichert in:
| Weitere Verfasser: | , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer US
1996
|
| Ausgabe: | 1st ed. 1996 |
| Schlagworte: | |
| Online-Zugang: | BTU01 Volltext |
| Zusammenfassung: | 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 |
| Beschreibung: | 1 Online-Ressource (X, 690 p) |
| ISBN: | 9781461313618 |
| DOI: | 10.1007/978-1-4613-1361-8 |
Internformat
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| 520 | |a 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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| edition | 1st ed. 1996 |
| format | Electronic eBook |
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| spelling | Meta-Heuristics Theory and Applications edited by Ibrahim H. Osman, James P. Kelly 1st ed. 1996 New York, NY Springer US 1996 1 Online-Ressource (X, 690 p) txt rdacontent c rdamedia cr rdacarrier 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 Operations Research/Decision Theory Optimization Artificial Intelligence Mathematical Modeling and Industrial Mathematics Operations research Decision making Mathematical optimization Artificial intelligence Mathematical models Heuristik (DE-588)4024772-7 gnd rswk-swf Operations Research (DE-588)4043586-6 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content (DE-588)1071861417 Konferenzschrift 1995 Breckenridge Colo. gnd-content Operations Research (DE-588)4043586-6 s Heuristik (DE-588)4024772-7 s DE-604 Osman, Ibrahim H. edt Kelly, James P. edt Erscheint auch als Druck-Ausgabe 9781461285878 Erscheint auch als Druck-Ausgabe 9780792397007 Erscheint auch als Druck-Ausgabe 9781461313625 https://doi.org/10.1007/978-1-4613-1361-8 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Meta-Heuristics Theory and Applications Operations Research/Decision Theory Optimization Artificial Intelligence Mathematical Modeling and Industrial Mathematics Operations research Decision making Mathematical optimization Artificial intelligence Mathematical models Heuristik (DE-588)4024772-7 gnd Operations Research (DE-588)4043586-6 gnd |
| subject_GND | (DE-588)4024772-7 (DE-588)4043586-6 (DE-588)4143413-4 (DE-588)1071861417 |
| title | Meta-Heuristics Theory and Applications |
| title_auth | Meta-Heuristics Theory and Applications |
| title_exact_search | Meta-Heuristics Theory and Applications |
| title_exact_search_txtP | Meta-Heuristics Theory and Applications |
| title_full | Meta-Heuristics Theory and Applications edited by Ibrahim H. Osman, James P. Kelly |
| title_fullStr | Meta-Heuristics Theory and Applications edited by Ibrahim H. Osman, James P. Kelly |
| title_full_unstemmed | Meta-Heuristics Theory and Applications edited by Ibrahim H. Osman, James P. Kelly |
| title_short | Meta-Heuristics |
| title_sort | meta heuristics theory and applications |
| title_sub | Theory and Applications |
| topic | Operations Research/Decision Theory Optimization Artificial Intelligence Mathematical Modeling and Industrial Mathematics Operations research Decision making Mathematical optimization Artificial intelligence Mathematical models Heuristik (DE-588)4024772-7 gnd Operations Research (DE-588)4043586-6 gnd |
| topic_facet | Operations Research/Decision Theory Optimization Artificial Intelligence Mathematical Modeling and Industrial Mathematics Operations research Decision making Mathematical optimization Artificial intelligence Mathematical models Heuristik Operations Research Aufsatzsammlung Konferenzschrift 1995 Breckenridge Colo. |
| url | https://doi.org/10.1007/978-1-4613-1361-8 |
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