@inproceedings{d3743afc779c498895b2fb1b1c725920,
title = "An analysis of nonlinear acceleration coefficients adjustment for PSO",
abstract = "Linear acceleration coefficients adjustment had been widely used in particle swarm optimization (PSO). In this paper, a novel nonlinear strategy is developed, where the acceleration coefficients including both cognitive component and social component are adjusted nonlinearly to improve the optimization performance within a reasonable iteration times. Furthermore, the novel adjustment is deeply analyzed by experimental simulations based on four standard test functions. The results confirm the validity of the nonlinear parameter adjustment method in terms of the balance between convergence rate and optimization accuracy.",
keywords = "cognitive component, nonlinear parameters adjustment, particle swarm optimization, social component",
author = "Gang Wang and Zhikun Liu",
year = "2012",
doi = "10.1007/978-3-642-33478-8\_86",
language = "英语",
isbn = "9783642334771",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "698--705",
booktitle = "Artificial Intelligence and Computational Intelligence - 4th International Conference, AICI 2012, Proceedings",
note = "4th International Conference on Artificial Intelligence and Computational Intelligence, AICI 2012 ; Conference date: 26-10-2012 Through 28-10-2012",
}