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Eberhard P, Sedlaczek K. Using augmented Lagrangian particle swarm opti- mization for constrained problems in engineering[C]. Advanced Design of Mechanical Systems: From Analysis to Optimization. 2009:253–271.

has been cited by the following article:

• TITLE: An Improved Particle Swarm Optimization Based on Repulsion Factor

  AUTHORS: Jie Zhang, Chaozan Fan, Bo Liu, Fugui Shi

  KEYWORDS: PSO; RPSO; repulsion radius; repulsive factor

  JOURNAL NAME: Open Journal of Applied Sciences, Vol.2 No.4B, January 15, 2013

  ABSTRACT: In this paper, through the research of advantages and disadvantages of the particle swarm optimization algorithm, we get a new improved particle swarm optimization algorithm based on repulsion radius and repulsive factor. And a lot of test function experimental results show that the algorithm can effectively overcome the PSO algorithm precocious defect. PSO has significant improvement.