Evolutionary Computation in Combinatorial Optimization

ISBN 10: 3540331786 / ISBN 13: 9783540331780

Editore: Springer, 2006

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pp. 312.

Codice articolo 26299032

Dati bibliografici

• Titolo: Evolutionary Computation in Combinatorial Optimization
• Editore: Springer
• Data di pubblicazione: 2006
• Lingua: Inglese
• ISBN 10: 3540331786
• ISBN 13: 9783540331780
• Rilegatura: Brossura
• Condizione: New

Descrizione articolo

Riassunto

This book constitutes the refereed proceedings of the 6th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2006, held in Budapest, Hungary in April 2006. The 24 revised full papers presented were carefully reviewed and selected from 77 submissions. The papers include coverage of evolutionary algorithms as well as various other metaheuristics, like scatter search, tabu search, and memetic algorithms.

Contenuti

Hybrid Genetic Algorithm Within Branch-and-Cut for the Minimum Graph Bisection Problem.- The Trade Off Between Diversity and Quality for Multi-objective Workforce Scheduling.- Evolving the Structure of the Particle Swarm Optimization Algorithms.- A Tabu Search Algorithm for Optimization of Gas Distribution Networks.- Design of a Retail Chain Stocking Up Policy with a Hybrid Evolutionary Algorithm.- Parametrized GRASP Heuristics for Three-Index Assignment.- A Memetic Algorithm with Bucket Elimination for the Still Life Problem.- Effects of Scale-Free and Small-World Topologies on Binary Coded Self-adaptive CEA.- Particle Swarm for the Traveling Salesman Problem.- Hierarchical Cellular Genetic Algorithm.- Improving Graph Colouring Algorithms and Heuristics Using a Novel Representation.- Minimizing Makespan on a Single Batch Processing Machine with Non-identical Job Sizes: A Hybrid Genetic Approach.- A Relation-Algebraic View on Evolutionary Algorithms for Some Graph Problems.- New Computational Results for the Nurse Scheduling Problem: A Scatter Search Algorithm.- Fast EAX Algorithm Considering Population Diversity for Traveling Salesman Problems.- A Memetic Algorithm with Population Management (MA|PM) for the Capacitated Location-Routing Problem.- The Core Concept for the Multidimensional Knapsack Problem.- Multiobjective Scheduling of Jobs with Incompatible Families on Parallel Batch Machines.- A Memetic Algorithm for the Biobjective Minimum Spanning Tree Problem.- A Comparative Study of Ant Colony Optimization and Reactive Search for Graph Matching Problems.- Divide-and-Evolve: A New Memetic Scheme for Domain-Independent Temporal Planning.- A Variable Neighbourhood Search Algorithm for Job Shop Scheduling Problems.- An Efficient Hybrid Search Algorithm for Various Optimization Problems.- A Hybrid VNS/Tabu Search Algorithm for Apportioning the European Parliament.