Meta-Heuristics: Advances and Trends in Local Search Paradigms for Optimization
Meta-Heuristics: Advances and Trends in Local Search Paradigms for Optimizations comprises a carefully refereed selection of extended versions of the best papers presented at the Second Meta-Heuristics Conference (MIC 97). The selected articles describe the most recent developments in theory and app...
Gespeichert in:
Weitere Verfasser: | , , , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
New York, NY
Springer US
1999
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Ausgabe: | 1st ed. 1999 |
Schlagworte: | |
Online-Zugang: | BTU01 Volltext |
Zusammenfassung: | Meta-Heuristics: Advances and Trends in Local Search Paradigms for Optimizations comprises a carefully refereed selection of extended versions of the best papers presented at the Second Meta-Heuristics Conference (MIC 97). The selected articles describe the most recent developments in theory and applications of meta-heuristics, heuristics for specific problems, and comparative case studies. The book is divided into six parts, grouped mainly by the techniques considered. The extensive first part with twelve papers covers tabu search and its application to a great variety of well-known combinatorial optimization problems (including the resource-constrained project scheduling problem and vehicle routing problems). In the second part we find one paper where tabu search and simulated annealing are investigated comparatively and two papers which consider hybrid methods combining tabu search with genetic algorithms. The third part has four papers on genetic and evolutionary algorithms. Part four arrives at a new paradigm within meta-heuristics. The fifth part studies the behavior of parallel local search algorithms mainly from a tabu search perspective. The final part examines a great variety of additional meta-heuristics topics, including neural networks and variable neighbourhood search as well as guided local search. Furthermore, the integration of meta-heuristics with the branch-and-bound paradigm is investigated |
Beschreibung: | 1 Online-Ressource (XII, 511 p) |
ISBN: | 9781461557753 |
DOI: | 10.1007/978-1-4615-5775-3 |
Internformat
MARC
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Datensatz im Suchindex
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author2 | Voß, Stefan Martello, Silvano Osman, Ibrahim H. Roucairol, Cathérine |
author2_role | edt edt edt edt |
author2_variant | s v sv s m sm i h o ih iho c r cr |
author_facet | Voß, Stefan Martello, Silvano Osman, Ibrahim H. Roucairol, Cathérine |
building | Verbundindex |
bvnumber | BV046871497 |
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ctrlnum | (ZDB-2-SBE)978-1-4615-5775-3 (OCoLC)903194767 (DE-599)BVBBV046871497 |
dewey-full | 658.40301 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 658 - General management |
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dewey-search | 658.40301 |
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discipline | Wirtschaftswissenschaften |
discipline_str_mv | Wirtschaftswissenschaften |
doi_str_mv | 10.1007/978-1-4615-5775-3 |
edition | 1st ed. 1999 |
format | Electronic eBook |
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spelling | Meta-Heuristics Advances and Trends in Local Search Paradigms for Optimization edited by Stefan Voß, Silvano Martello, Ibrahim H. Osman, Cathérine Roucairol 1st ed. 1999 New York, NY Springer US 1999 1 Online-Ressource (XII, 511 p) txt rdacontent c rdamedia cr rdacarrier Meta-Heuristics: Advances and Trends in Local Search Paradigms for Optimizations comprises a carefully refereed selection of extended versions of the best papers presented at the Second Meta-Heuristics Conference (MIC 97). The selected articles describe the most recent developments in theory and applications of meta-heuristics, heuristics for specific problems, and comparative case studies. The book is divided into six parts, grouped mainly by the techniques considered. The extensive first part with twelve papers covers tabu search and its application to a great variety of well-known combinatorial optimization problems (including the resource-constrained project scheduling problem and vehicle routing problems). In the second part we find one paper where tabu search and simulated annealing are investigated comparatively and two papers which consider hybrid methods combining tabu search with genetic algorithms. The third part has four papers on genetic and evolutionary algorithms. Part four arrives at a new paradigm within meta-heuristics. The fifth part studies the behavior of parallel local search algorithms mainly from a tabu search perspective. The final part examines a great variety of additional meta-heuristics topics, including neural networks and variable neighbourhood search as well as guided local search. Furthermore, the integration of meta-heuristics with the branch-and-bound paradigm is investigated 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 Optimierung (DE-588)4043664-0 gnd rswk-swf (DE-588)1071861417 Konferenzschrift gnd-content (DE-588)4143413-4 Aufsatzsammlung gnd-content Heuristik (DE-588)4024772-7 s Optimierung (DE-588)4043664-0 s DE-604 Voß, Stefan edt Martello, Silvano edt Osman, Ibrahim H. edt Roucairol, Cathérine edt Erscheint auch als Druck-Ausgabe 9780792383697 Erscheint auch als Druck-Ausgabe 9781461376460 Erscheint auch als Druck-Ausgabe 9781461557760 https://doi.org/10.1007/978-1-4615-5775-3 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Meta-Heuristics Advances and Trends in Local Search Paradigms for Optimization 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 Optimierung (DE-588)4043664-0 gnd |
subject_GND | (DE-588)4024772-7 (DE-588)4043664-0 (DE-588)1071861417 (DE-588)4143413-4 |
title | Meta-Heuristics Advances and Trends in Local Search Paradigms for Optimization |
title_auth | Meta-Heuristics Advances and Trends in Local Search Paradigms for Optimization |
title_exact_search | Meta-Heuristics Advances and Trends in Local Search Paradigms for Optimization |
title_exact_search_txtP | Meta-Heuristics Advances and Trends in Local Search Paradigms for Optimization |
title_full | Meta-Heuristics Advances and Trends in Local Search Paradigms for Optimization edited by Stefan Voß, Silvano Martello, Ibrahim H. Osman, Cathérine Roucairol |
title_fullStr | Meta-Heuristics Advances and Trends in Local Search Paradigms for Optimization edited by Stefan Voß, Silvano Martello, Ibrahim H. Osman, Cathérine Roucairol |
title_full_unstemmed | Meta-Heuristics Advances and Trends in Local Search Paradigms for Optimization edited by Stefan Voß, Silvano Martello, Ibrahim H. Osman, Cathérine Roucairol |
title_short | Meta-Heuristics |
title_sort | meta heuristics advances and trends in local search paradigms for optimization |
title_sub | Advances and Trends in Local Search Paradigms for Optimization |
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 Optimierung (DE-588)4043664-0 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 Optimierung Konferenzschrift Aufsatzsammlung |
url | https://doi.org/10.1007/978-1-4615-5775-3 |
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