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Magical Tome

Cover of Evolutionary computation in combinatorial optimization
First published
2005
Latest edition
2006
Publisher
Springer London, Limited
ISBN
9783540319962

Evolutionary computation in combinatorial optimization

by Günther R. Raidl

About this book

Evolutionary Computation in Combinatorial Optimization: 4th European Conference, EvoCOP 2004, Coimbra, Portugal, April 5-7, 2004. Proceedings Author: Jens Gottlieb, Günther R. Raidl Published by Springer Berlin Heidelberg ISBN: 978-3-540-21367-3 DOI: 10.1007/b96499 Table of Contents: Mutation Multiplicity in a Panmictic Two-Strategy Genetic Algorithm Solving the Vehicle Routing Problem by Using Cellular Genetic Algorithms Landscape Regularity and Random Walks for the Job-Shop Scheduling Problem A Comparison of Adaptive Operator Scheduling Methods on the Traveling Salesman Problem AntPacking – An Ant Colony Optimization Approach for the One-Dimensional Bin Packing Problem Scatter Search and Memetic Approaches to the Error Correcting Code Problem A Hybrid Evolutionary Algorithm for Solving the Register Allocation Problem Parallel Ant Systems for the Capacitated Vehicle Routing Problem A Hierarchical Social Metaheuristic for the Max-Cut Problem On the Structure of Sequential Search: Beyond “No Free Lunch” Dealing with Solution Diversity in an EA for Multiple Objective Decision Support – A Case Study A Study into Ant Colony Optimisation, Evolutionary Computation and Constraint Programming on Binary Constraint Satisfaction Problems Binary Merge Model Representation of the Graph Colouring Problem Hardness Prediction for the University Course Timetabling Problem Hybrid Estimation of Distribution Algorithm for Multiobjective Knapsack Problem On the Use of Path Relinking for the ρ – Hub Median Problem Solving a Real-World Glass Cutting Problem Designing Reliable Communication Networks with a Genetic Algorithm Using a Repair Heuristic Improving Vehicle Routing Using a Customer Waiting Time Colony New Benchmark Instances for the QAP and the Experimental Analysis of Algorithms

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