This paper proposes an improved adaptive particle swarm optimization algorithm （IAPSO） for the minimization of...
Wenbin Gu 1,2 , Dunbing Tang 1* , Kun Zheng 1 1. College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
A pheromone-based coordination approach and a prototype implementation for task allocation are pro- posed, for dealing with the static task allocation. The approach uses an indirect coordination mechanism, called pheromone, which comes from the collective behavior of ant colonies for food foraging. Therefore it can automat- ically find efficient manufacturing cells for processing tasks and reduce communication overhead, which exists in the contract net protocol. Experimental results confirm that the approach has excellent stability and optimization ability for task allocation problems in a static environment.
