| 新型粒子群算法在多元方程组求解中的应用 |
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| 引用本文： | 朱河龙,符强,吴清荣,张健,周佳成.新型粒子群算法在多元方程组求解中的应用[J].计算机时代,2010(3):9-10,26. |
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| 作者姓名： | 朱河龙 符强 吴清荣 张健 周佳成 |
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| 作者单位： | 宁波大学科学技术学院,浙江,宁波,315211 |
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| 基金项目： | 宁波大学SRIP创新科研基金项目(SRIP2008448) |
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| 摘 要： | 介绍了求解多元方程组的一种新型粒子群算法。通过引入多路并行的粒子群与可变异惯性权重，有效地增加了算法种群的多样性，提高了算法的整体寻优能力，使传统粒子群算法容易陷入局部最优解的问题得到了有效解决。最后通过求解运算，与传统粒子群算法进行比较，验证了该算法在求解多元方程组问题上的优越性。
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| 关 键 词： | 多元方程组 粒子群算法 多路并行 惯性权重 |
Application of New Particle Swarm Algorithm for Solving Multi-equations |
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| ZHU He-long,FU Qiang,WU Qing-rong,ZHANG Jian,ZHOU Jia-cheng.Application of New Particle Swarm Algorithm for Solving Multi-equations[J].Computer Era,2010(3):9-10,26. |
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| Authors: | ZHU He-long FU Qiang WU Qing-rong ZHANG Jian ZHOU Jia-cheng |
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| Affiliation: | College of Science and Technology/a>;Ningbo University/a>;Ningbo/a>;Zhejiang 315211/a>;China |
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| Abstract: | A new type of particle swarm algorithm in solving multi-equations is introduced. By bringing in multiple parallel particle swarm and mutable inertia weight, the population diversity of the algorithm is effectively increased and the ability of the algorithm for seeking the global excellent result is improved, which makes the problem that the traditional particle swarm algorithm is easily trapped in local optimal solution be effectively solved. Finally, through solving operation, and compared with the traditi... |
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| Keywords: | multi-equations particle swarm algorithm multiple parallel inertia weight |
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