Notice of RetractionImproved ecology evolutionary algorithm of food chain and its application in transmission network expansion planning

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.

Ecology evolutionary algorithm of food chain(EEAFC) as a new power transmission network planning approach is applied to power transmission network expansion planning, the objective function is selected as achieving minimal investment sum of transmission lines. Aimed at the different characteristics of the scale and the quality of various populations in ecology evolutionary algorithm of food chain, selection methods such as proportional model and deterministic sampling are used in low population and intermediate population separately, senior population uses optimal reserved strategy but dose not use reproduction operator, which gives further consideration to both the overall search and the local search capability.With expansion transmission corridor as decision variable, a real number encoding method is proposed for reducing the dimension numbers of covariates. The test was performed on the 18-bus system, the calculation results verify the feasibility and superiority of the proposed algorithm.