Multi-Objective Particle Swarm Optimizers : A Survey of the State-ofthe-Art

@inproceedings{ReyesSierra2006MultiObjectivePS,
  title={Multi-Objective Particle Swarm Optimizers : A Survey of the State-ofthe-Art},
  author={Margarita Reyes-Sierra and Carlos A. Coello Coello},
  year={2006}
}
The success of the Particle Swarm Optimization (PSO) algorithm as a single-objective optimizer (mainly when dealing with continuous search spaces) has motivated researchers to extend the use of this bio-inspired technique to other areas. One of them is multi-objective optimization. Despite the fact that the first proposal of a Multi-Objective Particle Swarm Optimizer (MOPSO) is over six years old, a considerable number of other algorithms have been proposed since then. This paper presents a… CONTINUE READING
Highly Influential
This paper has highly influenced 50 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 973 citations. REVIEW CITATIONS
458 Citations
93 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 458 extracted citations

973 Citations

050100'07'10'13'16
Citations per Year
Semantic Scholar estimates that this publication has 973 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 93 references

Application of particle swarm to multiobjective optimization

  • Jacqueline Moore, Richard Chapman
  • Department of Computer Science and Software…
  • 1999
Highly Influential
4 Excerpts

Engelbrecht.Fundamentals of Computational Swarm Intelligence

  • P. Andries
  • 2005
Highly Influential
3 Excerpts

The role of εdominance in multi objective particle swarm optimization methods

  • Sanaz Mostaghim, J ürgen Teich
  • InCongress on Evolutionary Computation (CEC’2003…
  • 2003
Highly Influential
7 Excerpts

A fast and elitist multiobjective genetic algorithm: NSGA–II.IEEE

  • Kalyanmoy Deb, Amrit Pratap, Sameer Agarwal, T. Meyarivan
  • Transactions on Evolutionary Computation,
  • 2002
Highly Influential
3 Excerpts

An Analysis of Particle Swarm Optimizers

  • Frans van den Bergh
  • PhD thesis, Department of Computer Science,
  • 2002
Highly Influential
3 Excerpts

Multiobjective optimization using dynamic neighborhood particle swarm optimization. InCongress on Evolutionary Computation (CEC’2002)

  • Xiaohui Hu, Russell Eberhart
  • IEEE Service Center
  • 2002
Highly Influential
4 Excerpts

Similar Papers

Loading similar papers…