| MOPSO算法及其在水库优化调度中的应用 |
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| 引用本文： | 杨俊杰,周建中,方仍存,钟建伟.MOPSO算法及其在水库优化调度中的应用[J].计算机工程,2007,33(18):249-250,264. |
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| 作者姓名： | 杨俊杰 周建中 方仍存 钟建伟 |
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| 作者单位： | [1]华中科技大学水电与数字化工程学院,武汉430074 [2]湖北民族学院信息工程学院,恩施445000 |
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| 摘 要： | 提出了一种新的多目标粒子群优化(MOPSO)算法，该算法采用自适应网格方法来估计非劣解集中粒子的密度信息、平衡全局和局部搜索能力的Pareto最优解的搜索机制、删除品质差的多余粒子的Archive集的修剪技术。通过对三峡梯级多目标优化调度问题的计算，表明该算法是求解大规模复杂多目标优化问题的一种有效手段。
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| 关 键 词： | 多目标优化 粒子群优化算法 三峡梯级 |
| 文章编号： | 1000-3428（2007）18-0249-02 |
| 修稿时间： | 2006-09-30 |
Multi-objective Particle Swarm Optimization and Its Application in Optimal Regulation of Reservoir |
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| YANG Jun-jie,ZHOU Jian-zhong,FANG Ren-cun,ZHONG Jian-wei.Multi-objective Particle Swarm Optimization and Its Application in Optimal Regulation of Reservoir[J].Computer Engineering,2007,33(18):249-250,264. |
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| Authors: | YANG Jun-jie ZHOU Jian-zhong FANG Ren-cun ZHONG Jian-wei |
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| Affiliation: | 1. School of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan 430074 2. School of Information Engineering, Hubei Institute for Nationalities, Enshi 445000 |
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| Abstract: | A new multi-objective particle swarm optimization(MOPSO)is proposed.The proposed algorithms employs three techniques:adaptive grid algorithms,which can obtain the valid density value of particles in Archive set;Pareto optimal solution searching algorithm,which can equalize the ability of global and local searching;Archive pruning techniques,which can remove inferior particles in Archive set to fix the size of Archive set.The algorithm is applied to solve multi-objective optimal regulation of Three Gorges.The simulation performance indicates the effectiveness of the presented algorithm with regard to solving the large scale complex multi-objective optimization problem. |
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| Keywords: | multi-objective optimization particle swarm optimization Three Gorges cascade |
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