SMPSO : A New PSO Metaheuristic for Multi-objective Optimization

@inproceedings{Nebro2009SMPSOA,
  title={SMPSO : A New PSO Metaheuristic for Multi-objective Optimization},
  author={Antonio J. Nebro and Juan Jos{\'e} Durillo and J. Garcı́a-Nieto and Carlos A. Coello Coello and Francisco Murilo Tavares Luna and Enrique Alba},
  year={2009}
}
In this work we present a new multi-objective particle swarm optimization algorithm (PSO) characterized by the use of a strategy to limit the velocity of the particles. In this way, the Speed-constrained Multi-objective PSO (SMPSO) allows to produce new effective particle positions in those cases where the velocity becomes too high. Other features of SMPSO include the polynomial mutation as turbulence factor and an external archive to store the non-dominated solutions found during the search… CONTINUE READING
Highly Cited
This paper has 19 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 11 extracted citations

Comparing MOPSO Approaches for Hydrothermal Systems Operation Planning

2013 BRICS Congress on Computational Intelligence and 11th Brazilian Congress on Computational Intelligence • 2013
View 1 Excerpt

References

Publications referenced by this paper.
Showing 1-10 of 17 references

J

J. J. Durillo
Garcı́a Nieto, A.J. Nebro, C.A. Coello Coello, F. Luna, and E. Alba. Multi-objective particle swarm optimizers: An experimental comparison. Submitted to EMO 2009 • 2008
View 4 Excerpts
Highly Influenced

A fast and elitist multiobjective genetic algorithm: NSGA-II

K. Deb, A. Pratap, S. Agarwal, T. Meyarivan
IEEE Transactions on Evolutionary Computation, 6(2):182–197 • 2002
View 4 Excerpts
Highly Influenced

AbYSS: Adapting Scatter Search to Multiobjective Optimization

IEEE Transactions on Evolutionary Computation • 2008
View 2 Excerpts

A Tutorial on the Performance Assessment of Stochastic Multiobjective Optimizers

J. Knowles, L. Thiele, E. Zitzler
Technical Report 214, Computer Engineering and Networks Laboratory (TIK), ETH Zurich • 2006
View 1 Excerpt

Similar Papers

Loading similar papers…