| 引用本文: | 李军军,甘世红,许波桅.基于伪幂函数的离散粒子群算法及其应用[J].控制理论与应用,2011,28(6):834~838.[点击复制] |
| LI Jun-jun,GAN Shi-hong,XU Bo-wei.Discrete particle swarm optimization algorithm based on pseudo power function and its applications[J].Control Theory and Technology,2011,28(6):834~838.[点击复制] |
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| 基于伪幂函数的离散粒子群算法及其应用 |
| Discrete particle swarm optimization algorithm based on pseudo power function and its applications |
| 摘要点击 2267 全文点击 1871 投稿时间：2009-09-21 修订日期：2010-09-07 |
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| DOI编号 10.7641/j.issn.1000-8152.2011.6.CCTA091217 |
| 2011,28(6):834-838 |
| 中文关键词 离散粒子群优化算法 伪幂函数 无线传感网络 路由 |
| 英文关键词 discrete particle swarm optimization pseudo power function wireless sensor networks routing |
| 基金项目 上海市教育委员会科研创新资助项目(09YZ273); 上海市科委“创新行动计划”资助项目(09dz1202400); 上海市优秀青年基金资助项目(ssc08022); 上海海洋大学博士启动基金资助项目(A–2400-08–0296). |
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| 中文摘要 |
| 针对概率贪婪离散粒子群算法不能兼顾收敛速度与收敛率的缺点, 提出一种基于伪幂函数的离散粒子群算法. 该方法对贪婪度函数进行伪幂化处理, 提高了较远离散位置的选择概率, 降低了较近离散位置的选择概率, 能有效避免早熟收敛, 提高收敛率. 对该算法的性能进行了分析. 无线传感网络路由优化结果表明, 该算法可以获得较好的优化结果. |
| 英文摘要 |
| Discrete particle swarm optimization algorithm based on probability greed method doesn’t provide good tradeoff between the convergence speed and the convergence percentage. To avoid this disadvantage, a new discrete particle swarm optimization algorithm is developed by introducing a pseudo power function to the greed function. The probability of choosing a far discrete position is increased; meanwhile the probability of choosing a near discrete position is decreased. Premature convergence is well avoided and the convergence percentage is enhanced. The properties of the algorithm are analyzed. Tests in route-optimization in wireless sensor networks show better results in the application of the proposed method. |