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Hybrid Metaheuristics: 7th International Workshop, HM 2010, Vienna, Austria, October 1-2, 2010. Proceedings
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Titel: | Hybrid Metaheuristics: 7th International Workshop, HM 2010, Vienna, Austria, October 1-2, 2010. Proceedings/ edited by María J. Blesa, Christian Blum, Günther Raidl, Andrea Roli, Michael Sampels |
Format: | E-Book Konferenzbericht |
Sprache: | Englisch |
veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2010
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Gesamtaufnahme: |
SpringerLink Lecture notes in computer science ; 6373 |
Schlagwörter: | |
Buchausg. u.d.T.: | Hybrid metaheuristics, Berlin : Springer, 2010, X, 221 S. |
Quelle: | Verbunddaten SWB |
Zugangsinformationen: | Elektronischer Volltext - Campuslizenz |
Zusammenfassung: | A Hybrid Metaheuristic for the Longest Common Subsequence Problem -- Hybrid Algorithms for the Variable Sized Bin Packing Problem -- A Hybrid Tabu Search Heuristic for a Bilevel Competitive Facility Location Model -- A Hybrid LS-CP Solver for the Shifts and Breaks Design Problem -- A New Approach for Solving the Generalized Traveling Salesman Problem -- Hybrid Heuristics for Dynamic Resource-Constrained Project Scheduling Problem -- A Multi-Start Evolutionary Local Search for the Two-Echelon Location Routing Problem -- A Memetic Algorithm for Reconstructing Cross-Cut Shredded Text Documents -- New Hybrid Matheuristics for Solving the Multidimensional Knapsack Problem -- An Improved Memetic Algorithm for Break Scheduling -- Consultant-Guided Search Algorithms for the Quadratic Assignment Problem -- On Index Structures in Hybrid Metaheuristics for Routing Problems with Hard Feasibility Checks: An Application to the 2-Dimensional Loading Vehicle Routing Problem -- Variable Neighborhood Search Coupled with ILP-Based Very Large Neighborhood Searches for the (Periodic) Location-Routing Problem -- SearchCol: Metaheuristic Search by Column Generation -- Survey: Matheuristics for Rich Vehicle Routing Problems. |
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Umfang: | Online-Ressource (X, 223p. 43 illus, digital) |
ISBN: |
9783642160547
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DOI: | 10.1007/978-3-642-16054-7 |