期刊文献+

非线性整数规划问题的改进粒子群优化算法 被引量:2

Improved Particle Swarm Optimization Algorithm for Nonlinear Integer Programming Problems
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摘要 提出了一种求解非线性整数规划问题的改进粒子群优化算法.在这个算法里,对粒子群优化模型的速度方程和位置方程进行改进,加入了动态约束处理技术以提高选择最优点的能力;加入了粒子的邻域加速寻优策略以提高局部优化能力.数值结果表明所提出的算法计算精度高且稳定性好. An improved particle swarm optimization algorithm is given to solve nonlinear integer pro- gramming problems. In the algorithm, the velocity equation and the position equation of the particle swarm optimization model are improved, and a dynamic-objective constraint-handing method is used to improve the ability to select the optimal points and the acceleration optimization strategies of the parti- cle's neighborhood is joined to improve the local optimal ability. Experimental results show that the proposed algorithm has a high solution efficiency and stability.
出处 《武汉理工大学学报(交通科学与工程版)》 2012年第6期1296-1300,共5页 Journal of Wuhan University of Technology(Transportation Science & Engineering)
基金 国家自然科学基金项目(批准号:60962006) 宁夏高等学校科研项目(批准号:2009JY008)资助
关键词 非线性整数规划 粒子群优化 动态目标约束处理技术 邻域加速寻优策略 nonlinear integer programming particle swarm optimization dynamic-objective constraint- handing method neighborhood acceleration optimal strategy
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参考文献10

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二级参考文献1

  • 1PARSOPOULOS K E,VRAHATIS M N. Recent approaches to global optimization problems through particles swarm optimization[J]. Natural Computing, 2002,1(2-3): 235-306.

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