期刊文献+

嵌套分割算法:一种新的并行随机优化算法 被引量:4

Nested Partitions Method:New Parallel Stochastic Optimization Algorithm
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摘要 嵌套分割算法是一种新的系统优化计算方法,它可以应用于确定型和随机型、离散系统和连续系统的优化问题。综述了嵌套分割算法的概念原理、方法步骤,介绍了算法的应用情况,并探讨了算法未来的研究方向。 Nested Partitions (NP) method is a new system optimization algorithm. It can be used in deterministic and stochastic optimization problems of discrete and continuous systems. This paper presented the concepts, principles, methods and procedures of nested partitions method systematically. Furthermore, discussed applications and further research expectations of the NP.
出处 《计算机应用研究》 CSCD 北大核心 2007年第6期79-81,共3页 Application Research of Computers
基金 国家自然科学基金资助项目(70371070) 上海市重点学科建设资助项目(T0502)
关键词 嵌套分割算法 系统优化 算法综述 nested partitions method system optimization algorithm overview
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参考文献14

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二级参考文献13

  • 1[1]Shi L.Nested partitions method for global optimization [J].Operations Research,2000,48(3):390-407. 被引量:1
  • 2[2]Olafsson S,Shi L.An integrated framework for deterministic and stochastic optimization [A].Proceedings of the 1997 Winter Simulation Conference [C].1997.358-365. 被引量:1
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二级引证文献14

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