Handling Constraints in Particle Swarm Optimization Using a Small Population Size

  title={Handling Constraints in Particle Swarm Optimization Using a Small Population Size},
  author={Juan Carlos Fuentes Cabrera and Carlos A. Coello Coello},
This paper presents a particle swarm optimizer for solving constrained optimization problems which adopts a very small population size (five particles). The proposed approach uses a reinitialization process for preserving diversity, and does not use a penalty function nor it requires feasible solutions in the initial population. The leader selection scheme adopted is based on the distance of a solution to the feasible region. In addition, a mutation operator is incorporated to improve the… CONTINUE READING
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