| 基于改进粒子群算法的网络计划工期--费用优化 |
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| 引用本文： | 孟建良,杨楷,庞春江,张江维. 基于改进粒子群算法的网络计划工期--费用优化[J]. 计算机应用与软件, 2006, 23(2): 114-116 |
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| 作者姓名： | 孟建良 杨楷 庞春江 张江维 |
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| 作者单位： | 华北电力大学计算机科学与技术学院,河北,保定,071003;华北电力大学计算机科学与技术学院,河北,保定,071003;华北电力大学计算机科学与技术学院,河北,保定,071003;华北电力大学计算机科学与技术学院,河北,保定,071003 |
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| 摘 要： | 本文提出了一种改进粒子群优化算法。在进化中增加了个体间的协作机制，这种改进后的学习行为更符合自然界生物的学习规律，更有利于粒子发现问题的全局最优解。最后将该方法用于PERT网络工期一费用模型求解，数字仿真表明了算法的有效性。
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| 关 键 词： | 粒子群算法 改进粒子群算法 工期-费用优化 |
| 收稿时间： | 2004-06-15 |
| 修稿时间： | 2004-06-15 |
APPLYING IMPROVED PARTICLE SWARM OPTIMIZATION ALGORITHM TO TIME-COST OPTIMIZATION OF NETWORK PLANS |
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| Meng Jianliang,Yang Kai,Pang Chunjiang,Zhang Jiangwei. APPLYING IMPROVED PARTICLE SWARM OPTIMIZATION ALGORITHM TO TIME-COST OPTIMIZATION OF NETWORK PLANS[J]. Computer Applications and Software, 2006, 23(2): 114-116 |
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| Authors: | Meng Jianliang Yang Kai Pang Chunjiang Zhang Jiangwei |
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| Affiliation: | School of Computer Science and Technology, North China Electric Power University, Baoding Hebei 071003, China |
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| Abstract: | A modified particle swarm optimization(MPSO) algorithm was proposed to solve the problem of time-cost optimization of network plans.In the improved algorithm,the cooperative mechanism among individuals has been introduced.This kind of study behavior accords with the biological natural law even more,and furthermore helps to find the global optimum solution.For solving time-cost optimization problems of PERT network plans,numerical simulation results show the effectiveness and efficiency of the proposed method.[KH*3/4D] |
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| Keywords: | Particle swarm optimization algorithm Improved particle swarm optimization algorithm Time-cost optimization |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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