A Modified Standard PSO-2011 with Robust Search Ability

Standard particle swarm optimization 2011(SPSO2011, takes SPSO for short) was proposed to overcome problems that there is bias of the search area existing in the conventional PSO depending on rotational invariant property. The performance of SPSO is affected by the distribution of the center of the search range and the global search ability fades away during the iteration process. In this paper, in order to reinforce diversity-maintain ability as well as improve local search ability, a modified diversity-guided SPSO (DGAP-MSPSO) algorithm is proposed. A modified SPSO variant with average point method is first applied till the swarm loses its diversity thus to improve local search ability. Then, the search process turns to another new SPSO variant in which an enhanced diversity-maintain operator is used for global search. The DGAP-MSPSO switches alternately between two SPSO variants according to swarm diversity, thus its search ability is improved. Experimental results shows that our proposed algorithm, the DGAP-MSPSO algorithm, gets better performance on most test functions compared with other SPSO variants.