Simple models of coevolutionary genetic algorithms

Bull, L. (2001) Simple models of coevolutionary genetic algorithms. Artificial Life and Robotics, 5 (1). pp. 58-66. ISSN 1433-5298 Available from:

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The use of evolutionary computing techniques in coevolutionary/multiagent systems is becoming increasingly popular. This paper presents some simple models of the genetic algorithm in such systems, with the aim of examining the effects of different types of interdependence between individuals. Using the models, it is shown that for a fixed amount of interdependence between homogeneous coevolving individuals, the existence of partner gene variance, gene symmetry, and the level at which fitness is applied can have significant effects. Similarly, for heterogeneous coevolving systems with fixed interdependence, partner gene variance and fitness application are also found to have a significant effect, as is the partnering strategy used.

Item Type:Article
Uncontrolled Keywords:automation and robotics, fitness landscapes, computation by abstract devices, computer science, artificial intelligence, AI, robotics, multiagent systems
Faculty/Department:Faculty of Environment and Technology > Department of Computer Science and Creative Technologies
ID Code:20703
Deposited By: M. Clarke
Deposited On:17 Jul 2013 11:13
Last Modified:15 Nov 2016 22:21

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