Evolutionary Computation in Combinatorial Optimization

4th European Conference, EvoCOP 2004, Coimbra, Portugal, April 5-7, 2004, Proceedings (Lecture Notes in Computer Science)

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Last edited by ImportBot
February 7, 2024 | History

Evolutionary Computation in Combinatorial Optimization

4th European Conference, EvoCOP 2004, Coimbra, Portugal, April 5-7, 2004, Proceedings (Lecture Notes in Computer Science)

1 edition
  • 0 Ratings
  • 0 Want to read
  • 0 Currently reading
  • 0 Have read

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

Publish Date
Publisher
Springer
Language
English
Pages
241

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Previews available in: English

Book Details


First Sentence

"Genetic algorithms (GA s) are biologically inspired search procedures that have been used successfully for the solution of hard numerical and combinatorial optimization problems."

Classifications

Library of Congress
QA76.618 .E82 2004, QA1-939

The Physical Object

Format
Paperback
Number of pages
241
Dimensions
9 x 6.1 x 0.7 inches
Weight
13.6 ounces

ID Numbers

Open Library
OL9497576M
Internet Archive
evolutionarycomp2004gott
ISBN 10
3540213678
ISBN 13
9783540213673
LCCN
2004102324
OCLC/WorldCat
54928951
Goodreads
3310975

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February 7, 2024 Edited by ImportBot import existing book
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April 30, 2008 Created by an anonymous user Imported from amazon.com record