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中文摘要：
把处理约束条件的一个外点方法和改进的粒子群优化算法相结合，提出了一种求解非线性约束优化问题的混合粒子群优化算法．该方法兼顾了粒子群优化和外点法的优点，对算法迭代过程中出现不可行粒子，利用外点法处理后产牛可行粒子．数值实验表明了提出的新算法具有有效性、通用性和稳健性
英文摘要：
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.
同期刊论文项目
同项目期刊论文
Modified Multi-Objective Particle Swarm Optimization Algorithm for Multi-objective Optimization Prob
Modified differential evolution algorithm of constrained nonlinear mixed integer programming problem
PSO algorithm with chaos and gene density mutation for solving nonlinear zero-one integer programmin
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