求解模糊机会约束规划模型的微粒群算法

针对现在不确定规划领域中存在的模糊机会约束规划模型和群智能优化方法-微粒群算法,提出了一种求解模糊机会约束规划模型的新混合智能算法.该算法利用微粒群算法并运用模糊模拟技术对模糊机会约束规划模型的规划问题进行分析和数值求解,因而无需像传统的基于遗传算法的混合智能算法那样需要很长时间并经过复杂的计算才能得到结果.通过对实际模型的分析和数值求解,给出了应用该方法的具体步骤,说明了该混合智能算法的合理性和有效性.

Particle swarm optimization for fuzzy chance constrained programming model

Aming at the existing fuzzy chance constrained programming model in uncertainty planning field and the optimization method of group intelligence-particle swarm optimization algorithm,a new hybrid intelligent algorithm for fuzzy chance constrained programming models is designed.The proposed algorithm uses the fuzzy simulation and particle swarm optimization algorithm to solve this kind of programming problems.Thus it doesn't need a long time and complex calculations to getting results liking the hybrid intelligent algorithm by using genetic algorithm.The modeling and simulating examples of manufacturing decision problems show that the programming model and algorithm are reasonable and efficient.