Evolutionary Computation in Combinatorial Optimization
5th European Conference, EvoCOP 2005, Lausanne, Switzerland, March 30 - April 1, 2005, Proceedings
Published on 21. March 2005
Book
Paperback/Softback
XI, 271 pages
978-3-540-25337-2 (ISBN)
Description
Evolutionary computation (EC) involves the study of problem-solving and op- mization techniques inspired by principles of natural evolution and genetics. EC has been able to draw the attention of an increasing number of researchers and practitioners in several ?elds. Evolutionary algorithms have in particular been showntobee?ectivefordi?cultcombinatorialoptimizationproblemsappearing in various industrial, economics, and scienti?c domains. This volume contains the proceedings of EvoCOP 2005, the 5th European Conference on Evolutionary Computation in Combinatorial Optimization.
It was held in Lausanne, Switzerland, on 30 March-1 April 2005, jointly with EuroGP 2005, the 8th European Conference on Genetic Programming, and the EvoWorkshops 2005, which consisted of the following six individual workshops: EvoBIO, the 3rd European Workshop on Evolutionary Bioinformatics; Evo- COMNET, the 2nd European Workshop on Evolutionary Computation in C- munication, Networks, and Connected Systems; EvoHOT, the 2nd European Workshop on Hardware Optimisation Techniques; EvoIASP, the 7th European Workshop on Evolutionary Computation in Image Analysis and Signal Proce- ing; EvoMUSART, the 3rd European Workshop on Evolutionary Music and Art; and EvoSTOC, the 2nd European Workshop on Evolutionary Algorithms in Stochastic and Dynamic Environments.
It was held in Lausanne, Switzerland, on 30 March-1 April 2005, jointly with EuroGP 2005, the 8th European Conference on Genetic Programming, and the EvoWorkshops 2005, which consisted of the following six individual workshops: EvoBIO, the 3rd European Workshop on Evolutionary Bioinformatics; Evo- COMNET, the 2nd European Workshop on Evolutionary Computation in C- munication, Networks, and Connected Systems; EvoHOT, the 2nd European Workshop on Hardware Optimisation Techniques; EvoIASP, the 7th European Workshop on Evolutionary Computation in Image Analysis and Signal Proce- ing; EvoMUSART, the 3rd European Workshop on Evolutionary Music and Art; and EvoSTOC, the 2nd European Workshop on Evolutionary Algorithms in Stochastic and Dynamic Environments.
More details
Series
Edition
2005 ed.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
XI, 271 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 16 mm
Weight
441 gr
ISBN-13
978-3-540-25337-2 (9783540253372)
DOI
10.1007/b107115
Schweitzer Classification
Content
An External Partial Permutations Memory for Ant Colony Optimization.- A Novel Application of Evolutionary Computing in Process Systems Engineering.- Choosing the Fittest Subset of Low Level Heuristics in a Hyperheuristic Framework.- An Attribute Grammar Decoder for the 01 MultiConstrained Knapsack Problem.- EvoGeneS, a New Evolutionary Approach to Graph Generation.- On the Application of Evolutionary Algorithms to the Consensus Tree Problem.- Analyzing Fitness Landscapes for the Optimal Golomb Ruler Problem.- Immune Algorithms with Aging Operators for the String Folding Problem and the Protein Folding Problem.- Multiobjective Quadratic Assignment Problem Solved by an Explicit Building Block Search Algorithm - MOMGA-IIa.- Lot-Sizing in a Foundry Using Genetic Algorithm and Repair Functions.- Estimation of Distribution Algorithms with Mutation.- Property Analysis of Symmetric Travelling Salesman Problem Instances Acquired Through Evolution.- Heuristic Colour Assignment Strategies for Merge Models in Graph Colouring.- Application of the Grouping Genetic Algorithm to University Course Timetabling.- Self-Adapting Evolutionary Parameters: Encoding Aspects for Combinatorial Optimization Problems.- Population Training Heuristics.- Scatter Search Particle Filter to Solve the Dynamic Travelling Salesman Problem.- The Use of Meta-heuristics to Solve Economic Lot Scheduling Problem.- Making the Edge-Set Encoding Fly by Controlling the Bias of Its Crossover Operator.- Ant Algorithm for the Graph Matching Problem.- An Adaptive Genetic Algorithm for the Minimal Switching Graph Problem.- An Improved Simulated Annealing Method for the Combinatorial Sub-problem of the Profit-Based Unit Commitment Problem.- A New Hybrid GA/SA Algorithm for the Job Shop Scheduling Problem.- An AgentModel for Binary Constraint Satisfaction Problems.