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Evolutionary Computation


Emma Hart, 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. 18, Issue 3 - Fall 2010


Editorial for the Special Issue on Theoretical Aspects of Evolutionary Multi-Objective Optimization
pp. 333-334
Abstract | PDF (25.17 KB)
On the Effect of Populations in Evolutionary Multi-Objective Optimisation
pp. 335-356
Abstract | PDF (246.11 KB)
Exploring the Runtime of an Evolutionary Algorithm for the Multi-Objective Shortest Path Problem
pp. 357-381
Abstract | PDF (344.32 KB)
An Efficient Algorithm for Computing Hypervolume Contributions
pp. 383-402
Abstract | PDF (416.39 KB)
An Efficient and Accurate Solution Methodology for Bilevel Multi-Objective Programming Problems Using a Hybrid Evolutionary-Local-Search Algorithm
pp. 403-449
Abstract | PDF (2.18 MB)
A New Method for Modeling the Behavior of Finite Population Evolutionary Algorithms
pp. 451-489
Abstract | PDF (492.98 KB)
Self-Adaptation of Mutation Operator and Probability for Permutation Representations in Genetic Algorithms
pp. 491-514
Abstract | PDF (462.83 KB)