Opposition-Based Barebones Particle Swarm for Constrained Nonlinear Optimization Problems

@inproceedings{Wang2012OppositionBasedBP,
  title={Opposition-Based Barebones Particle Swarm for Constrained Nonlinear Optimization Problems},
  author={Hui Wang},
  year={2012}
}
This paper presents a modified barebones particle swarm optimization OBPSO to solve constrained nonlinear optimization problems. The proposed approach OBPSO combines barebones particle swarm optimization BPSO and opposition-based learning OBL to improve the quality of solutions. A novel boundary search strategy is used to approach the boundary between the feasible and infeasible search region. Moreover, an adaptive penalty method is employed to handle constraints. To verify the performance of… CONTINUE READING

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