An agent-based collaborative evolutionary model for multimodal optimization
Proceedings of the 10th annual conference companion on Genetic and evolutionary computation
Mathematics and Computers in Simulation
Evolving competitive car controllers for racing games with neuroevolution
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
A hybrid cultural algorithm with local search for traveling salesman problem
CIRA'09 Proceedings of the 8th IEEE international conference on Computational intelligence in robotics and automation
Computational & Mathematical Organization Theory
Networks Do Matter: The Socially Motivated Design of a 3D Race Controller Using Cultural Algorithms
International Journal of Swarm Intelligence Research
Using Virtual Worlds to Facilitate the Exploration of Ancient Landscapes
International Journal of Swarm Intelligence Research
Bio-inspired optimisation for economic load dispatch: a review
International Journal of Bio-Inspired Computation
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Cultural algorithms employ a basic set of knowledge sources, each related to knowledge observed in various animal species. These knowledge sources are then combined to direct the decisions of the individual agents in solving optimization problems using an influence function inspired by the marginal value theorem from population biology. We briefly describe an implementation of this approach, the cultural algorithms toolkit (CAT) in the Repast agent-based simulation environment. Next we introduce the notion of "social fabric" which provides a framework in which the knowledge sources can access the social networks to which individuals can belong. A computational version of the social fabric idea is then implemented as an extension of the influence function in the CAT system. We then apply the enhanced system to a problem in engineering design, the "pressure vessel problem". For this problem, we show that the enhanced system with the social fabric outperforms the CAT system without it. We demonstrate also that the frequency with which the knowledge sources are able to access the network can affect the problem solving process.