| 一种改进的粒子群算法 |
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| 引用本文： | 王志刚.一种改进的粒子群算法[J].哈尔滨商业大学学报(自然科学版),2009,25(4):464-466. |
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| 作者姓名： | 王志刚 |
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| 作者单位： | 南京师范大学,泰州学院,数学系,江苏,泰州,225300 |
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| 摘 要： | 粒子群优化算法是求解函数优化问题的一种新的进化算法,然而它在求解高维函数时容易陷入局部最优.为了克服这个缺点,通过调整粒子的速度更新公式,使粒子获得更多信息来调整自身的状态,以增强算法跳出局部最优的能力.通过对6个基准函数的仿真实验,表明了改进算法的有效性.
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| 关 键 词： | 粒子群优化算法 群体智能 进化计算 |
A modified particle swarm optimization |
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| WANG Zhi-gang.A modified particle swarm optimization[J].Journal of Harbin University of Commerce :Natural Sciences Edition,2009,25(4):464-466. |
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| Authors: | WANG Zhi-gang |
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| Institution: | Department of Mathematics;Taizhou College;Nanjing Normal University;Taizhou 225300;China |
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| Abstract: | Particle swarm optimization is a new computational method for tackling optimization functions.However,it is easily trapped into the local optimization when solving high-dimension functions.To overcome this shortcoming,by changing particle's velocity update rule to help the particle acquire more information of others to adjust its movement.The modified algorithm can improve the ability of seeking the global excellent result.Six benchmark functions are tested,and the result indicates that the modified particl... |
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| Keywords: | particle swarm optimization swarm intelligence evolutionary computation |
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