期刊文献+

基于萤火虫-粒子群混合算法的配棉优化研究 被引量:1

Cotton-blending Based on Hybrid Algorithm of Glowworm Swarm Optimization and Particle Swarm Optimization
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摘要 针对配棉问题,建立由原棉成本和质量控制成本组成的配棉目标函数,同时探讨了配棉约束条件,最终确立配棉数学模型。然后采用一种萤火虫-粒子群混合算法对配棉问题进行求解,仿真结果表明,该算法能高效解决自动配棉问题,并且优化效果较好。 Aiming at the problem of Cotton-blending,this paper introduces an objective function consist of the cost of raw-cotton and quality-control,and discusses the constraints of Cotton-blending,finally establishes the mathematical model.Then used a Hybrid algorithm of Glowworm swarm Optimization and Particle Swarm Optimization to solve the problem.The simulation results show that the Hybrid algorithm can efficiently and accurately solve the problem of Cotton-blending.
作者 易文峰 周俊
出处 《工业控制计算机》 2014年第11期14-16,共3页 Industrial Control Computer
关键词 配棉 原棉成本 质量控制成本 萤火虫-粒子群算法 Cotton-blending,raw-cotton,quality-control,Hybrid algorithm
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参考文献5

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