张涛, 吕肖东, 张亚峰. 基于混合智能算法的战略储油基地选址问题[J]. 油气储运, 2008, 27(10): 12-15, 27. DOI: 10.6047/j.issn.1000-8241.2008.10.004
引用本文: 张涛, 吕肖东, 张亚峰. 基于混合智能算法的战略储油基地选址问题[J]. 油气储运, 2008, 27(10): 12-15, 27. DOI: 10.6047/j.issn.1000-8241.2008.10.004
ZHANG Tao, LV Xiaodong, . Location-allocation Problem of Strategic Petroleum Storage Based on Hybrid Intelligent Algorithm[J]. Oil & Gas Storage and Transportation, 2008, 27(10): 12-15, 27. DOI: 10.6047/j.issn.1000-8241.2008.10.004
Citation: ZHANG Tao, LV Xiaodong, . Location-allocation Problem of Strategic Petroleum Storage Based on Hybrid Intelligent Algorithm[J]. Oil & Gas Storage and Transportation, 2008, 27(10): 12-15, 27. DOI: 10.6047/j.issn.1000-8241.2008.10.004

基于混合智能算法的战略储油基地选址问题

Location-allocation Problem of Strategic Petroleum Storage Based on Hybrid Intelligent Algorithm

  • 摘要: 混合智能算法是由随机模拟、单纯形法和遗传算法融合而成的一种智能化启发式算法。对于描述设备选址要求,根据建立战略储备的风险,通过运用不确定规划模型,解决了经济发展需求、路径长度受限情况下选择适合的储油基地问题。实例计算结果表明,与传统算法相比,混合智能算法能有效地解决储油基地的选址问题。

     

    Abstract: The hybrid intelligent algorithm is an intelligentized heuristic algorithm which compromises the random simulation algorithm, the simplex method and genetic algorithm.According to the risk in establishment of strategic petroleum storage, the paper describes the mathematics model of the petroleum storage structures facility location—allocation problem and exercises uncertain planning models to solve the petroleum storage structures location—allocation problem with demands of economic developing and limited route length.Experimental result shows that the hybrid intelligent algorithm can find out an optimal or nearly optimal solution effectively compared with the traditional algorithm.

     

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