TP381 2001042656基于单个LCD的光电混合并行计算=Opto-electronichybrid parallel computing based on a single LCD[刊,中]/张延忻,翟宏琛,申金媛,孙杰,刘玥,陈戌(南开大学现代光学研究所,光电信息技术开放研究实验室.天津(300071))/...TP381 2001042656基于单个LCD的光电混合并行计算=Opto-electronichybrid parallel computing based on a single LCD[刊,中]/张延忻,翟宏琛,申金媛,孙杰,刘玥,陈戌(南开大学现代光学研究所,光电信息技术开放研究实验室.天津(300071))//光电子·激光.-2000,11(1).-11-13提出一种基于单个LCD的光电混合并行计算方案。该方案不仅可以降低成本,解决以LCD作为空间光调制器时所遇到的级联和衍射问题,而且可以实现光电混合并行计算的集成化和微型化。展开更多
The hybrid flow shop scheduling problem with unrelated parallel machine is a typical NP-hard combinatorial optimization problem, and it exists widely in chemical, manufacturing and pharmaceutical industry. In this wor...The hybrid flow shop scheduling problem with unrelated parallel machine is a typical NP-hard combinatorial optimization problem, and it exists widely in chemical, manufacturing and pharmaceutical industry. In this work, a novel mathematic model for the hybrid flow shop scheduling problem with unrelated parallel machine(HFSPUPM) was proposed. Additionally, an effective hybrid estimation of distribution algorithm was proposed to solve the HFSPUPM, taking advantage of the features in the mathematic model. In the optimization algorithm, a new individual representation method was adopted. The(EDA) structure was used for global search while the teaching learning based optimization(TLBO) strategy was used for local search. Based on the structure of the HFSPUPM, this work presents a series of discrete operations. Simulation results show the effectiveness of the proposed hybrid algorithm compared with other algorithms.展开更多
文摘TP381 2001042656基于单个LCD的光电混合并行计算=Opto-electronichybrid parallel computing based on a single LCD[刊,中]/张延忻,翟宏琛,申金媛,孙杰,刘玥,陈戌(南开大学现代光学研究所,光电信息技术开放研究实验室.天津(300071))//光电子·激光.-2000,11(1).-11-13提出一种基于单个LCD的光电混合并行计算方案。该方案不仅可以降低成本,解决以LCD作为空间光调制器时所遇到的级联和衍射问题,而且可以实现光电混合并行计算的集成化和微型化。
基金Projects(61573144,61773165,61673175,61174040)supported by the National Natural Science Foundation of ChinaProject(222201717006)supported by the Fundamental Research Funds for the Central Universities,China
文摘The hybrid flow shop scheduling problem with unrelated parallel machine is a typical NP-hard combinatorial optimization problem, and it exists widely in chemical, manufacturing and pharmaceutical industry. In this work, a novel mathematic model for the hybrid flow shop scheduling problem with unrelated parallel machine(HFSPUPM) was proposed. Additionally, an effective hybrid estimation of distribution algorithm was proposed to solve the HFSPUPM, taking advantage of the features in the mathematic model. In the optimization algorithm, a new individual representation method was adopted. The(EDA) structure was used for global search while the teaching learning based optimization(TLBO) strategy was used for local search. Based on the structure of the HFSPUPM, this work presents a series of discrete operations. Simulation results show the effectiveness of the proposed hybrid algorithm compared with other algorithms.
