Evolutionary computation in combinatorial optimization

Evolutionary computation in combinatorial optimization

by Jens Gottlieb, Günther R. Raidl

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About
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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