Notice of RetractionAdaptive immune genetic algorithm for optimization reservoir dispatching

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.

Reservoir optimization dispatching involves non-linear optimization in their solution with high dimensionality and large number of constraints. Often the conventional techniques fail to yield global optimal solutions. The recently proposed evolutionary algorithms are also facing problems, while solving large-scale problems. In this paper, an adaptive immune genetic algorithm (AIGA) is proposed to solve optimizing reservoir operation. Because of the AIGA can adjust adaptively the genetic operation parameters; and ensure diversity of population according to the value of individual fitness, and selection strategy based on density. This method effectively avoids premature convergence phenomenon. Case results show that this algorithm effectively restrains premature convergence, greatly improves global search performance and increases converging speed.