论文下载地址:http://epub.cnki.net/grid2008/detail.aspx?filename=2009217480.nh&dbname=CDFD2010
论文的主要创新点:
)等比较,仿真结果表明SOA是一种在全局搜索能力、收敛速度和计算复杂度等方面都具有很强竞争力的新算法[9-14]。
参考文献:
[1] 戴朝华,朱云芳,陈维荣. 云自适应遗传算法. 控制理论与应用, 2007, 24(4):646-650. (EI: 074110859673)
[2] Zhu Yunfang, Chaohua Dai, Weirong Chen, et al. Adaptive probabilities of crossover and mutation in genetic algorithms based on cloud generators. Journal of Computational Information Systems, 2005, 1(4): 671-678. (EI: 063610101001)
[3] Chaohua Dai, Yunfang Zhu, and Weirong Chen. Adaptive probabilities of crossover and mutation in genetic algorithms based on cloud model, In: Proc. of the 2006 IEEE Information Theory Workshop, Chengdu, 2006, pp. 710-713. (ISTP: BFN39)
[4] 戴朝华. 云进化算法. 西南交通大学110周年校庆研究生学术论坛论文集, 2006.
1419-1424. (EI: 073510790218)
[6] 戴朝华,朱云芳,陈维荣. 云遗传算法. 西南交通大学学报,2006,41(6):729-732. (EI: 070610415221)
[7] Chaohua Dai, Yunfang Zhu, and Weirong Chen. Cloud-model-based genetic algorithm, Dynamics of Continuous Discrete and Impulsive Systems-Series B-Applications & Algorithms, 13E: 1860-1864 Part 4 Suppl. S DEC 2006. (ISTP: 201OS)
[8] 戴朝华. 搜寻者优化算法及其应用研究[D]. 成都: 西南交通大学博士学位论文, 2009.
(SCI:000276680000024; IF: 5.468))
[11]Chaohua Dai, Weirong Chen, Yunfang Zhu and Xuexia Zhang. Reactive power dispatch considering voltage stability with seeker optimization algorithm,Electric Power System Research, 2009, 79(10), pp.1462-1471. (SCI:000268822800016; IF: 1.259)
)
说明:群体智能(Swarm Intelligence, SI)包括人类智能(Human Intelligence)和非人类智能(如蚁群算法、粒子群算法等),文中的搜寻者优化算法(seeker optimization algorithm)属于HI。注:这里的SI限指SI算法。