A study on diversity and cooperation in a multiagent strategy for dynamic optimization problems

Authors:
David Pelta;Carlos Cruz;Juán Ramón González
Affiliations:
Models of Decision and Optimization Research Group, Department of Computer Science and AI, C- Periodista Daniel Saucedo Aranda s-n, University of Granada, 18071 Granada, Spain;Models of Decision and Optimization Research Group, Department of Computer Science and AI, C- Periodista Daniel Saucedo Aranda s-n, University of Granada, 18071 Granada, Spain;Models of Decision and Optimization Research Group, Department of Computer Science and AI, C- Periodista Daniel Saucedo Aranda s-n, University of Granada, 18071 Granada, Spain
Venue:
International Journal of Intelligent Systems - Special Issue on Nature Inspired Cooperative Strategies for Optimization
Year:
2009

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Abstract

In recent years, biological and natural processes have been increasingly influencing methodologies in science and technology. In particular, the role played by the cooperation among individuals is being studied more frequently and profoundly in diverse areas of knowledge. We present here a multiagent decentralized strategy for dynamic optimization problems where a population of cooperative agents and solutions are used to deal with the moving peaks problem. We focus on cooperation and diversity mechanisms, and we study how different alternatives affect the performance of the strategy. © 2009 Wiley Periodicals, Inc.