The Evolvement of Particle Swarm Optimization and its Combination Strategy

Computer Engineering and Applications ›› 2007, Vol. 43 ›› Issue (7): 90-92.

• 学术探讨 • Previous Articles Next Articles

The Evolvement of Particle Swarm Optimization and its Combination Strategy

XiuJuan Lei

Received:2006-09-25 Revised:1900-01-01 Online:2007-03-01 Published:2007-03-01
Contact: XiuJuan Lei

PSO优化算法演变及其融合策略

雷秀娟史忠科周亦鹏

西北工业大学自动化学院

通讯作者: 雷秀娟

Abstract

Abstract: This paper analyzed the evolvement of particle swarm optimization and related parameters, includes basic algorithm, PSO with inertia weight and PSO with constriction factor. Then discussed the combination strategy with other intelligent methods (simulated annealing, genetic algorithm, ant colony optimization) and pointed out the research about mathematics field of PSO is the convergence. The conclusion and prospect is in the end.

Key words: Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization

摘要： 本文分析了粒子群优化算法公式的演变以及相关参数，包括基本算法，加惯性权重的PSO以及加收缩因子的PSO。并对它与其它智能算法（模拟退火、遗传算法、蚁群算法等）的融合进行了探讨，指出目前PSO的数学研究范畴仅限于收敛性的研究。文尾给出了结论与展望。

关键词: 粒子群优化, 模拟退火, 蚁群优化算法

XiuJuan Lei. The Evolvement of Particle Swarm Optimization and its Combination Strategy[J]. Computer Engineering and Applications, 2007, 43(7): 90-92.

雷秀娟史忠科周亦鹏. PSO优化算法演变及其融合策略[J]. 计算机工程与应用, 2007, 43(7): 90-92.

[1]	XU Yinxiang, CHEN Qidong, SUN Jun. Text Adversarial Attack Method Applying Based on Improved Quantum Behaved Particle Swarm Optimization [J]. Computer Engineering and Applications, 2022, 58(9): 175-180.
[2]	CHEN Bowen, ZOU Hai. Self-Conclusion and Self-Adaptive Variation Particle Swarm Optimization [J]. Computer Engineering and Applications, 2022, 58(8): 67-75.
[3]	LI Qingliang, ZHANG Zhi’an, MA Haonan, ZHOU Hemiao. Gait Optimization of Anti-Gravity Shift of Quadruped Robot [J]. Computer Engineering and Applications, 2022, 58(7): 303-310.
[4]	MEI Yiqun, HAN Xiaolong. Joint Scheduling of Berths and Quay Cranes Considering Berth Preference and Quay Crane Movement [J]. Computer Engineering and Applications, 2022, 58(6): 241-249.
[5]	ZHU Guohui, LIU Ruwen, YANG Ying. SDN Controller Fault Recovery Algorithm Based on Multi-population Particle Swarm Optimization [J]. Computer Engineering and Applications, 2022, 58(5): 124-130.
[6]	TIAN Feng, CHEN Huaili. Research on Planning of Electric Vehicle Charging Station Considering User Choice Preference [J]. Computer Engineering and Applications, 2022, 58(15): 294-301.
[7]	ZHANG Ran, PAN Zhihan, YIN Yifeng, CAI Zengyu. Network Security Situation Assessment Model Based on SAA-SSA-BPNN [J]. Computer Engineering and Applications, 2022, 58(11): 117-124.
[8]	ZHANG Xiancai, ZHANG Zusheng, LI Yiguang, GUO Xiaohong, CHEN Wei. Vehicle Detection Algorithm Based on Pulse Coherent Radar [J]. Computer Engineering and Applications, 2022, 58(10): 276-282.
[9]	SHI Chuntian, ZENG Yanyang, HOU Shouming. Summary of Application of Swarm Intelligence Algorithms in Image Segmentation [J]. Computer Engineering and Applications, 2021, 57(8): 36-47.
[10]	LI Jingxing, YANG Youlong. Feature Selection of Markov Blanket for High Dimensional Data [J]. Computer Engineering and Applications, 2021, 57(6): 58-66.
[11]	ZHU Jiaying, GAO Maoting. AUV Path Planning Based on Particle Swarm Optimization and Improved Ant Colony Optimization [J]. Computer Engineering and Applications, 2021, 57(6): 267-273.
[12]	HU Xiaomin, WANG Mingfeng, ZHANG Shourong, LI Min. New Differential Evolution with Particle Swarm Optimization Algorithm for Text Clustering [J]. Computer Engineering and Applications, 2021, 57(4): 61-67.
[13]	LI Zhuangkuo, CHANG Kaixuan. Ant Colony Optimization for Continuous Domains Applied to Cooperative Game [J]. Computer Engineering and Applications, 2021, 57(24): 198-204.
[14]	WANG Jiayue, SHI Li. Research on Path Optimization and Charging Strategy of Electric Refrigerated Vehicle Considering Cost of Battery Capacity Degradation [J]. Computer Engineering and Applications, 2021, 57(24): 283-289.
[15]	CHEN Wanfen, WANG Yujia, LIN Weixing. Heterogeneous Ensemble Surrogate Assisted Multi-objective Particle Swarm Optimization Algorithm [J]. Computer Engineering and Applications, 2021, 57(23): 71-80.

The Evolvement of Particle Swarm Optimization and its Combination Strategy

PSO优化算法演变及其融合策略

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics