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Evolutionary Computation


Hans-Georg Beyer, Editor-in-Chief

Evolutionary Computation is the leading journal in its field. It provides an international forum for facilitating and enhancing the exchange of information among researchers involved in both the theoretical and practical aspects on computational systems drawing their inspiration from nature, with particular emphasis on evolutionary models of computation such as genetic algorithms, evolutionary strategies, classifier systems, evolutionary programming, genetic programming, and related fields such as swarm intelligence (Ant Colony Optimization and Particle Swarm Optimization), and other evolutionary computation techniques.

Table of Contents

Vol. 17, Issue 4 - Winter 2009


Editorial Introduction
pp. i-ii
Abstract | PDF (31.75 KB)
Editorial Introduction to the Special Issue: Evolutionary Computing in the Collaborative Research Centre on Computational Intelligence at Technische Universität (TU) Dortmund
pp. iii-iv
Abstract | PDF (33.38 KB)
Analysis of Diversity-Preserving Mechanisms for Global Exploration*
pp. 455-476
Abstract | PDF (245.97 KB)
S-Metric Calculation by Considering Dominated Hypervolume as Klee's Measure Problem
pp. 477-492
Abstract | PDF (636.55 KB)
Statistical Methods for Convergence Detection of Multi-Objective Evolutionary Algorithms
pp. 493-509
Abstract | PDF (488.43 KB)
Hybrid Evolutionary Optimization of Two-Stage Stochastic Integer Programming Problems: An Empirical Investigation
pp. 511-526
Abstract | PDF (331.18 KB)
On the Use of Problem-Specific Candidate Generators for the Hybrid Optimization of Multi-Objective Production Engineering Problems
pp. 527-544
Abstract | PDF (843.01 KB)
Competitive Coevolutionary Learning of Fuzzy Systems for Job Exchange in Computational Grids
pp. 545-560
Abstract | PDF (412.43 KB)
Increasing the Production Accuracy of Profile Bending with Methods of Computational Intelligence
pp. 561-576
Abstract | PDF (1.1 MB)
Multi-Objective Optimization with Controlled Model Assisted Evolution Strategies
pp. 577-593
Abstract | PDF (445.37 KB)
Dependency Structure Matrix, Genetic Algorithms, and Effective Recombination
pp. 595-626
Abstract | PDF (1.58 MB)