Dynamic Robust Particle Swarm Optimization Algorithm Based on Hybrid Strategy

Robust optimization over time can effectively solve the problem of frequent solution switching in dynamic environments. In order to improve search performance robust algorithm, a particle swarm algorithm based on hybrid strategy (HS-DRPSO) is proposed this paper. Based optimization, HS-DRPSO combines differential evolution and brainstorms an ability. Moreover, selection employed realize different methods algorithm. Compared with other two algorithms five standard test functions, results show that overall better than comparison algorithms.