Notice of RetractionResearch on improved Particle Swarm Optimization algorithm based on space-division and layered search

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.

To improve the efficiency of particle swarm optimization, this paper proposed a novel improved particle swarm optimization algorithm. The basic idea is parallel mechanism and space-division and layered search. The main contributions include, divided whole search space into n subares. For certain generations, let the best subarea be the search space. This shrinked the search space to the solution space. Proposed two layers partition of particles, the lower and topper work well for globaland local search respectively. By experiments on four benchmark functions, shows that the new algorithm increases precision by 80.37% compared with island population model PSO.