A novel bee swarm optimization algorithm with chaotic sequence and psychology model of emotion

Authors:
Jiann-Horng Lin;Meei-Ru Lin;Li-Ren Huang
Affiliations:
Department of Information Management, I-Shou University, Taiwan;Department of Medical Laboratory Science and Biotechnology, Kaohsiung Medical University, Taiwan;Department of Information Management, I-Shou University, Taiwan
Venue:
ISTASC'09 Proceedings of the 9th WSEAS International Conference on Systems Theory and Scientific Computation
Year:
2009

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Abstract

Artificial Bee Colony algorithm is an optimization algorithm based on the intelligent behavior of honey bee swarm. This paper presents Bee Swarm Optimization intended to introduce chaotic sequences and psychology factor of emotion into the algorithm. We define two emotions Bees could have, positive and negative, and correspond to two reaction to perception respectively. For avoiding premature convergence it allows the proposed Emotional Chaotic Bee Swarm Optimization to continue search for better even best optimization in classic optimization problems, reaching better solutions than classic Artificial Bee Colony algorithm with a faster convergence speed.