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生命线网络系统抗震拓扑优化的Benchmark模型 被引量:3
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作者 刘小坛 刘威 李杰 《防灾减灾工程学报》 CSCD 2007年第3期258-264,共7页
生命线系统拓扑优化问题的Benchmark模型是评测新型算法正确性和适用性的重要手段。基于此,首先以生命线网络系统抗震拓扑优化分析模型为背景,建立了该优化问题的三个Benchmark模型,并在Visual Compaq Fortran开发环境下,通过穷举法统... 生命线系统拓扑优化问题的Benchmark模型是评测新型算法正确性和适用性的重要手段。基于此,首先以生命线网络系统抗震拓扑优化分析模型为背景,建立了该优化问题的三个Benchmark模型,并在Visual Compaq Fortran开发环境下,通过穷举法统计出解空间的所有网络,进而甄选出不同节点可靠度约束下的最优网络和若干次优网络,最后利用上述Benchmark模型对生命线网络系统抗震拓扑优化中的蚁群算法进行测试。结果表明,当网络规模较小时,蚁群算法能精确地搜索到最优解;当网络规模增大后,蚁群算法也能以较大概率搜索到最优解或次优解。 展开更多
关键词 生命线网络 抗震拓扑优化 BENCHMARK 模型
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供水管网抗震拓扑优化算法研究 被引量:6
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作者 刘威 徐良 李杰 《中国科学:技术科学》 EI CSCD 北大核心 2012年第11期1351-1360,共10页
针对供水管网抗震拓扑优化问题,引入管线单元投资重要度的概念评价管网中管线对管网抗震的贡献.在此基础上,将遗传算法、遗传-模拟退火算法、蚁群算法和微粒群算法等现代组合优化算法应用于供水管网抗震拓扑优化中.通过算例对上述算法... 针对供水管网抗震拓扑优化问题,引入管线单元投资重要度的概念评价管网中管线对管网抗震的贡献.在此基础上,将遗传算法、遗传-模拟退火算法、蚁群算法和微粒群算法等现代组合优化算法应用于供水管网抗震拓扑优化中.通过算例对上述算法的优劣进行了对比分析.结果表明:遗传-模拟退火算法表现最好,遗传算法和微粒群算法次之,而蚁群算法的搜索性能较差. 展开更多
关键词 供水管网 抗震拓扑优化 遗传算法 遗传-模拟退火算法 蚁群算法 微粒群算法
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Algorithms for seismic topology optimization of water distribution network 被引量:1
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作者 LIU Wei XU Liang LI Jie 《Science China(Technological Sciences)》 SCIE EI CAS 2012年第11期3047-3056,共10页
As an essential lifeline engineering system,water distribution network should provide enough water to maintain people's life after earthquake in addition to working under daily operation.However,the design of wate... As an essential lifeline engineering system,water distribution network should provide enough water to maintain people's life after earthquake in addition to working under daily operation.However,the design of water distribution network usually ignores the influence of earthquake,resulting in water stoppage in large area during many recent strong earthquakes.This study introduced a seismic design approach of water distribution network,i.e.,topology optimization design.With network topology as the optimization goal and seismic reliability as the constraint,a topology optimization model for designing water distribution network under earthquake is established.Meanwhile,two element investment importance indexes,a pipeline investment importance index and a diameter investment importance index,are introduced to evaluate the importance of pipelines in water distribution network.Then,four combinational optimization algorithms,a genetic algorithm,a simulated annealing genetic algorithm,an ant colony algorithm and a particle swarm algorithm,are introduced to solve this optimization model.Moreover,these optimization algorithms are used to optimize a network with 19 nodes and 27 pipelines.The optimization results of these algorithms are compared with each other. 展开更多
关键词 water distribution network seismic topology optimization genetic algorithm simulated annealing genetic algorithm ant colony algorithm particle swarm algorithm
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