An Algorithm Based on Differential Evolution for Multi-Objective Problems

  title={An Algorithm Based on Differential Evolution for Multi-Objective Problems},
  author={Luis V. Santana-Quintero and Carlos A. Coello Coello},
This paper presents a new multi-objective evolutionary algorithm based on differential evolution. The proposed approach adopts a secondary population in order to retain the nondominated solutions found during the evolutionary process. Additionally, the approach also incorporates the concept of2-dominance to get a good distribution of the solutions retained. The main goal of this work was to keep the fast convergence exhibited by Differential Evolution in global optimization when extending this… CONTINUE READING
Highly Cited
This paper has 61 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 37 extracted citations

Hybrid Multiobjective Differential Evolution Incorporating Preference Based Local Search

Int. J. Comput. Intell. Syst. • 2014
View 5 Excerpts
Highly Influenced

62 Citations

Citations per Year
Semantic Scholar estimates that this publication has 62 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 38 references

A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II

Kalyanmoy Deb, Amrit Pratap, Sameer Agarwal, T. Meyarivan
IEEE Transactions on Evolutionary Computation, • 2002
View 4 Excerpts
Highly Influenced

The Pareto Differential Evolution Algorithm

International Journal on Artificial Intelligence Tools • 2002
View 8 Excerpts
Highly Influenced

Similar Papers

Loading similar papers…