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供应链环境下产能优化配置问题的混合粒子群算法 被引量:7
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作者 路健 李铁克 王柏琳 《计算机集成制造系统》 EI CSCD 北大核心 2012年第11期2537-2545,共9页
针对供应链环境的协作特征,研究以下游企业需求为导向的产能优化配置,建立了以最大化企业盈利、设备利用率以及下游企业需求饱和度为目标的问题模型,并设计了基于精英集的多目标粒子群算法。算法结合模型的约束特征,采用约束满足技术生... 针对供应链环境的协作特征,研究以下游企业需求为导向的产能优化配置,建立了以最大化企业盈利、设备利用率以及下游企业需求饱和度为目标的问题模型,并设计了基于精英集的多目标粒子群算法。算法结合模型的约束特征,采用约束满足技术生成初始解,基于惩罚函数的思想设计适应度函数,并对不可行解提出了修复规则;针对多目标优化特征,在求解过程中通过建立精英集来保存非劣解,并基于Pareto最优的概念更新精英集,利用基于k-means聚类的精英集裁剪策略,来保证精英集规模和粒子的分布性。实验结果表明了模型和算法的可行性和有效性。 展开更多
关键词 供应链 产能优化配置 粒子群优化算法 多目标优化
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Productivity prediction model and optimal configuration of herringbone multilateral well 被引量:1
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作者 蔡明 尹洪军 +1 位作者 钟会影 付春权 《Journal of Central South University》 SCIE EI CAS 2013年第3期770-775,共6页
In order to accurately predict the productivity of herringbone multilateral well,a new productivity prediction model was founded.And based on this model,orthogonal test and multiple factor variance analysis were appli... In order to accurately predict the productivity of herringbone multilateral well,a new productivity prediction model was founded.And based on this model,orthogonal test and multiple factor variance analysis were applied to study optimization design of herringbone multilateral well.According to the characteristics of herringbone multilateral well,by using pressure superposition and mirror image reflection theory,the coupled model of herringbone multilateral well was developed on the basis of a three-dimensional pseudo-pressure distribution model for horizontal wells.The model was formulated in consideration of friction loss,acceleration loss of the wellbore and mixed loss at the confluence of main wellbore and branched one.After mathematical simulation on productivity of the herringbone multilateral well with the coupled model,the effects of well configuration on productivity were analyzed.The results show that lateral number is the most important factor,length of main wellbore and length of branched wellbore are the secondary ones,angle between main and branched one has the least influence. 展开更多
关键词 herringbone multilateral well wellbore pressure drop productivity prediction optimization design
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