| 基于离散粒子群算法的多约束多目标优化 |
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| 引用本文： | 蓝玉龙,刘雪丹,王强.基于离散粒子群算法的多约束多目标优化[J].科技通报,2012,28(4):138-140. |
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| 作者姓名： | 蓝玉龙 刘雪丹 王强 |
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| 作者单位： | 1. 南宁地区教育学院数学与计算机科学系,南宁,530001
2. 广西师范大学计算机科学与信息工程学院,广西桂林,541004 |
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| 基金项目： | 国家自然科学基金资助项目，广西自然科学基金资助项目 |
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| 摘 要： | 利用粒子群算法(PSO)提出了一个新的粒子编码方法,并将其用于高校排课问题。通过对某高校的排课数据进行测试,结果表明,本文所提出的改进PSO算法对于解决高校排课问题的优化是有效的,对其它多目标问题地求解也有借鉴意义。
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| 关 键 词： | 粒子群算法 多约束 多目标优化 |
Based on Discrete Particle Swarm Algorithm is More Than the Multi-objective Optimization |
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| LAN Yulong
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LIU Xuedan
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WANG Qiang.Based on Discrete Particle Swarm Algorithm is More Than the Multi-objective Optimization[J].Bulletin of Science and Technology,2012,28(4):138-140. |
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| Authors: | LAN Yulong LIU Xuedan WANG Qiang |
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| Institution: | 1.Nanning District Education College Mathematics and Computer Science,Nanning 530001,China; 2.Guangxi Normal University Computer Science and Information Engineering Institute,Guilin 541004,China) |
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| Abstract: | Using particle swarm optimization(PSO) proposed a new particle encoding method,and applied to Course Scheduling problem for colleges and universities.Timetable of a university by test data,experimental results show that the proposed improved PSO algorithm for solving the optimization problem of college course arrangement is effective,For other multi-objective problems is also a valuable reference |
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| Keywords: | PSO combinatorial optimization multi-objective optimization |
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