Notice of RetractionBased on Pareto strength value of the multi-objective optimization evolutionary algorithm

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

Multi-objective optimization(MOO) has become an important research area of evolutionary computation in recent years,and the current research work focuses on the Pareto optimal-based MOO evolutionary approaches. The research objectives of multi-objective evolutionary algorithms is to make the populations fast convergence and evenly distributed in the question of the optimal noniferior domain. The paper defines and uses loosing density to maintain a good spread of solution in the population,and defines the fitness of the individual through Pareto strength and loosing density. Test results show that the new approach is feasible and effective.