HYBRID PARTICLE SWARM ALGORITHM OF NONLINEAR CONSTRAINT OPTIMIZATION PROBLEMS
非线性约束优化问题的混合粒子群算法

Combining an outside point method of dealing with the constraints with improved particle swarm optimization algorithm, a hybrid particle swarm optimization algorithm is proposed for solving non-linear constrained optimization problems. This method makes use of advantages of the PSO and outside point method. The non-feasible particles produced in iterative process are dealt with by the outside point method to produce feasible particles. A number of numerical experiments show that the proposed new algorithm has effectiveness and versatility and robustness.