Abstract:

A new simulated pursuit intelligent swarm algorithm is proposed. In the process of pursuit for athletes simulated in Long-distance Race, a pursuit operator and an exploring operator are presented. In the algorithm, the leader uses an exploring operator to obtain the better position, and the rest of individuals often use a pursuit operator to follow or surpass competitors and the population evolution is realized. The simulation results show that simulated pursuit algorithm is an effective and robust method with better solution accuracy and higher convergence speed.

Key words: simulated pursuit; intelligent algorithm; exploring operator; pursuit operator