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" Meta-heuristics : "
edited by Stefan Voss [and others].
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BL
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| Record Number
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719769
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b539462
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| Main Entry
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edited by Stefan Voss [and others].
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| Title & Author
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Meta-heuristics : : advances and trends in local search paradigms for optimization\ edited by Stefan Voss [and others].
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| Publication Statement
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[New York, N.Y.]: Springer Science + Business Media, ©1999.
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xii, 511 pages : illustrations ; 23 cm
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| ISBN
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1461376467
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: 9781461376460
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| Contents
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Preface. I: Tabu Search. 1. Tabu Search Algorithms and Lower Bounds for the Resource-Constrained Project Scheduling Problem; T. Baar, et al. 2. Metaheuristic for the Vechile Routing Problem with Time Windows; J. Brandao. 3. New Heuristic Algorithms for the Crew Scheduling Problem; L. Cavique, et al. 4. Enhanced Continuous Tabu Search: An Algorithm for the Global Optimization of Multiminima Functions; R. Chelouah, P. Siarry. 5. Local Search in Constraint Programming: Experiments with Tabu Search on the Vehicle Routing Problem; B. de Backer, V. Furnon. 6. Tabu Search for Graph Coloring, T-Colorings and Set T-Colorings; R. Dorne, J.-K. Hao. 7. Tabu Search with Critical Event Memory: An Enhanced Application for Binary Quadratic Programs; F. Glover, et al. 8. Actuator Selection for the Control of Multi-Frequency Noise in Aircraft Interiors; R.K. Kincaid, S.L. Padula. 9. Neighborhood Search Algorithm for the Guillotine Non-Oriented Two-Dimensional Bin Packing Problem; A. Lodi, et al. 10. Candidate List and Exploration Strategies for Solving 0/1 MIP Problems Using a Pivot Neighborhood; A. Lokketangen, F. Glover. 11. Global and Local Moves in Tabu Search: A Real-Life Mail Collecting Application; R. Mechti, et al. 12. Flow Line Scheduling by Tabu Search; E. Nowicki, C. Smutnicki. Part II: Combined and Hybrid Approaches. 13. Using Lower Bounds in Minium Span Frequency Assignment; S.M. Allen, et al. 14. A Hybrid Heuristic for Multiobjective Knapsack Problems; F.B. Abdelaziz, et al. 15. Hybrid Genetic TabuSearch for a Cyclic Scheduling Problem; P. Greistorfer. Part III: Genetic and Evolutionary Algorithms. 16. Adaptive Genetic Algorithms: A Methodology for Dynamic Autoconfiguration of Genetic Search Algorithms; U. Derigs, et al. 17. The Lavish Ordering Genetic Algorithm; E. Falkenauer. 18. Fitness Landscapes and Performance of Meta-Heuristics; C. Fonlupt, et al. 19. A Network-Based Adaptive Evolutionary Algorithm for Constraint Satisfaction Problems; M.-C. Riff. Part IV: Ant Systems. 20. Applying the Ant System to the Vehicle Routing Problem; B. Bullnheimer, et al. 21. Cooperative Intelligent Search Using Adaptive Memory Techiques; L. Sondergeld, S. Voss. 22. The Max-Min Ant System and Local Search for Combinatorial Optimization Problems; T. Stutzle, H. Hoos. Part V: Parallel Approaches. 23. Towards an Evolutionary Method Cooperating Multi-Thread Parallel Tabu Search Hybrid; T.G. Crainic, M. Gendreau. 24. Parallel Tabu Search for Large Optimization Problems; E.-G. Talbi, et al. 25. Sequential and Parallel Local Search Algorithms for Job Shop Scheduling; H.M.M. ten Eikelder, et al. 26. An Experimental Study of Systemic Behavior of Cooperative Search Algorithms; M. Toulouse, et al. Part VI: Further Meta-Heuristics. 27. A Hopfield-Tank Neural Network Model for the Generalized Traveling Salesman Problem; R. Andresol, et al. 28. Generalized Cybernetic Optimization: Solving Continuous Variable Problems; M.A. Fleischer. 29. Solving the Progressive Party Problem by Local Search; P.
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| Abstract
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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).
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Artificial intelligence.
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Mathematical optimization.
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Operations research.
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| LC Classification
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QA402.5E358 1999
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| Added Entry
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Stefan Voss
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