Incorporating Psychology Model of Emotion into Ant Colony Optimization Algorithm
نویسنده
چکیده
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. Key-Words: Ant Colony Optimization, Emotional Ant Colony Optimization, Psychology Model
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