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给水管网混沌粒子群优化算法及模型实验研究
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作者 王伟伟 车然娜 +2 位作者 丁超 贺海浪 徐彬彬 《水科学与工程技术》 2019年第6期69-72,共4页
针对传统管网优化模型存在的优化目标局限、优化效率低等问题,提出了基于混沌粒子群算法的改进管网多目标优化模型,选取给水管网经济性、可靠性进行数学表征,以此为目标函数,将水力约束和节点压力限制作为约束条件。改进传统PSO,使其适... 针对传统管网优化模型存在的优化目标局限、优化效率低等问题,提出了基于混沌粒子群算法的改进管网多目标优化模型,选取给水管网经济性、可靠性进行数学表征,以此为目标函数,将水力约束和节点压力限制作为约束条件。改进传统PSO,使其适用于对管网系统的多目标约束问题求解,并引入混动权重,对管网进行深度遍历,提高了管网优化效率。最后引入实例,通过MATLAB模拟实验,实验表明该模型具有较好的稳定性,提高了优化效率。 展开更多
关键词 管网优化 多目标优化pso 混沌权重 深度搜索
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Multi-objective optimization for leaching process using improved two-stage guide PSO algorithm 被引量:8
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作者 胡广浩 毛志忠 何大阔 《Journal of Central South University》 SCIE EI CAS 2011年第4期1200-1210,共11页
A mathematical mechanism model was proposed for the description and analysis of the heat-stirring-acid leaching process.The model is proved to be effective by experiment.Afterwards,the leaching problem was formulated ... A mathematical mechanism model was proposed for the description and analysis of the heat-stirring-acid leaching process.The model is proved to be effective by experiment.Afterwards,the leaching problem was formulated as a constrained multi-objective optimization problem based on the mechanism model.A two-stage guide multi-objective particle swarm optimization(TSG-MOPSO) algorithm was proposed to solve this optimization problem,which can accelerate the convergence and guarantee the diversity of pareto-optimal front set as well.Computational experiment was conducted to compare the solution by the proposed algorithm with SIGMA-MOPSO by solving the model and with the manual solution in practice.The results indicate that the proposed algorithm shows better performance than SIGMA-MOPSO,and can improve the current manual solutions significantly.The improvements of production time and economic benefit compared with manual solutions are 10.5% and 7.3%,respectively. 展开更多
关键词 leaching process MODELING multi-objective optimization two-stage guide EXPERIMENT
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