Evolutionary Computation in Combinatorial Optimization (eBook, PDF)

8th European Conference, EvoCOP 2008, Naples, Italy, March 26-28, 2008, Proceedings
Redaktion: Hemert, Jano van; Cotta, Carlos

• Format: PDF

Produktbeschreibung

Coverage in this proceedings volume presents the latest research and details current developments and applications in metaheuristics, a paradigm to effectively solve difficult combinatorial optimization problems in industry, economics, and science.

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Produktdetails

• Verlag: Springer-Verlag GmbH
• Seitenzahl: 292
• Erscheinungstermin: 3. April 2008
• Englisch
• ISBN-13: 9783540786047
• Artikelnr.: 44222660

Inhaltsangabe

Adaptive Tabu Tenure Computation in Local Search.- A Conflict Tabu Search Evolutionary Algorithm for Solving Constraint Satisfaction Problems.- Cooperative Particle Swarm Optimization for the Delay Constrained Least Cost Path Problem.- Effective Neighborhood Structures for the Generalized Traveling Salesman Problem.- Efficient Local Search Limitation Strategies for Vehicle Routing Problems.- Evolutionary Local Search for the Minimum Energy Broadcast Problem.- Exploring Multi-objective PSO and GRASP-PR for Rule Induction.- An Extended Beam-ACO Approach to the Time and Space Constrained Simple Assembly Line Balancing Problem.- Graph Colouring Heuristics Guided by Higher Order Graph Properties.- A Hybrid Column Generation Approach for the Berth Allocation Problem.- Hybrid Metaheuristic for the Prize Collecting Travelling Salesman Problem.- An ILS Based Heuristic for the Vehicle Routing Problem with Simultaneous Pickup and Delivery and Time Limit.- An Immune Genetic Algorithm Based on Bottleneck Jobs for the Job Shop Scheduling Problem.- Improved Construction Heuristics and Iterated Local Search for the Routing and Wavelength Assignment Problem.- Improving Metaheuristic Performance by Evolving a Variable Fitness Function.- Improving Query Expansion with Stemming Terms: A New Genetic Algorithm Approach.- Inc*: An Incremental Approach for Improving Local Search Heuristics.- Metaheuristics for the Bi-objective Ring Star Problem.- Multiobjective Prototype Optimization with Evolved Improvement Steps.- Optimising Multiple Kernels for SVM by Genetic Programming.- Optimization of Menu Layouts by Means of Genetic Algorithms.- A Path Relinking Approach with an Adaptive Mechanism to Control Parameters for the Vehicle Routing Problem with Time Windows.- Reactive Stochastic LocalSearch Algorithms for the Genomic Median Problem.- Solving Graph Coloring Problems Using Learning Automata.