A Novel Bee Swarm Optimization Algorithm with Chaotic Sequence and Psychology Model of Emotion


Lin J., Lin M., Huang L.

9th WSEAS International Conference on Systems Theory and Scientific Computation, Moscow, Russia, 20 - 22 August 2009, pp.87-92 identifier

  • Publication Type: Conference Paper / Full Text
  • City: Moscow
  • Country: Russia
  • Page Numbers: pp.87-92

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.