Quarterly (spring, summer, fall, winter)
176 pp. per issue
7 x 10
2014 Impact factor:

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. 27, Issue 1 - Spring 2019


pp. 1-2
Abstract | PDF (23.12 KB)
Automated Algorithm Selection: Survey and Perspectives
pp. 3-45
Abstract | PDF (905.5 KB)
Landscape Analysis of a Class of NP-Hard Binary Packing Problems
pp. 47-73
Abstract | PDF (1.81 MB)
Direct Feature Evaluation in Black-Box Optimization Using Problem Transformations
pp. 75-98
Abstract | PDF (793.64 KB)
Automated Algorithm Selection on Continuous Black-Box Problems by Combining Exploratory Landscape Analysis and Machine Learning
pp. 99-127
Abstract | PDF (1.25 MB)
Latin Hypercube Designs with Branching and Nested Factors for Initialization of Automatic Algorithm Configuration
pp. 129-145
Abstract | PDF (864.08 KB)
Automatic Configuration of Multi-Objective Local Search Algorithms for Permutation Problems
pp. 147-171
Abstract | PDF (1017.75 KB)
Extending the “Open-Closed Principle” to Automated Algorithm Configuration
pp. 173-193
Abstract | PDF (1.5 MB)