Incorporating psychology model of emotion into ant colony optimization algorithm

Authors:
Jiann-Horng Lin;Meei-Ru Lin;Chain-Hao Lee
Affiliations:
Department of Information Management, I-Shou University, Taiwan;Department of Biomedical Laboratory Science, Kaohsiung Medical University, Taiwan;Department of Information Management, I-Shou University, Taiwan
Venue:
MATH'07 Proceedings of the 12th WSEAS International Conference on Applied Mathematics
Year:
2007

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Abstract

This paper presents a modification of the ant colony optimization algorithm (ACO) intended to introduce psychology factor of emotion into the algorithm. We define only two emotions ants could have, positive and negative, and correspond to two reaction to perception respectively. For avoiding premature convergence allows Emotional Ant Colony Optimization (EACO) to continue search for better even best optimization in difficult optimization problems, reaching better solutions than ACO with a faster convergence speed.