Evolutionary Computation in Combinatorial Optimization -

Evolutionary Computation in Combinatorial Optimization

6th European Conference, EvoCOP 2006, Budapest, Hungary, April 10-12, 2006, Proceedings
Buch | Softcover
XII, 296 Seiten
2006 | 2006
Springer Berlin (Verlag)
978-3-540-33178-0 (ISBN)
53,49 inkl. MwSt
lt;p>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.

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.

Erscheint lt. Verlag 24.3.2006
Reihe/Serie Lecture Notes in Computer Science
Theoretical Computer Science and General Issues
Zusatzinfo XII, 296 p.
Verlagsort Berlin
Sprache englisch
Maße 155 x 235 mm
Gewicht 980 g
Themenwelt Informatik Software Entwicklung User Interfaces (HCI)
Informatik Theorie / Studium Algorithmen
Mathematik / Informatik Mathematik
Schlagworte algorithm • Algorithm analysis and problem complexity • algorithms • ant colony optimization • combinatorial optimization • Constraint Satisfaction Problems • evolutionary algorithm • evolutionary algorithms • evolutionary computation • Genetic algorithms • Heuristics • Memetic Algorithms • Metaheuristic • Metaheuristics • Multi-Criterion Optimization • Optimization • scatter search • Scheduling • Simulated annealing • Variable
ISBN-10 3-540-33178-6 / 3540331786
ISBN-13 978-3-540-33178-0 / 9783540331780
Zustand Neuware
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