摘要
通过将粒子群算法(PSO)与差别进化算法(DE)相结合,提出一种混合算法PSODE,用于求解约束优化问题.PSODE是在PSO算法中适当引入不可行解,将粒子群拉向约束边界,加强对约束边界的搜索,同时与DE算法结合以加强搜索能力.基于典型高维复杂函数的仿真表明,该算法简单高效,鲁棒性强.
A hybrid algorithm, PSODE, is proposed by combining particle swarm optimization (PSO) with different evolution (DE), for solving constrained optimization problems. PSODE is a powerful searching algorithm by keeping properly infeasible solution to attract the swarm to the constraint boundary and by combining with DE to enhance the searching ability. Simulation results on benchmark complex functions with high dimension show that the hybrid algorithm is effective, efficient and fairly robust to initial conditions.
出处
《控制与决策》
EI
CSCD
北大核心
2004年第7期804-807,812,共5页
Control and Decision
基金
国家自然科学基金资助项目(70271035
60104004)
国家973子项目资助(2002CB312202)
上海市启明计划(03QG14053).
