Title :
Notice of Retraction
Multiobjective evolutionary algorithms applied to compressor stations network optimization scheduling control system
Author :
Xu Bing ; Qian Ping
Author_Institution :
Logistics Eng. Coll., Shanghai Maritime Univ., Shanghai, China
Abstract :
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.
This paper introduces the compressed air supply network based on the theory of evolution of the optimization scheduling control system. According to enterprise widespread surplus compressed air compressor, unloading operation by venting waste energy problems. The control system adopts multi objective optimization control strategy, which can effectively solve the compression machines with high efficiency, energy saving, output control problem of multi-objective synthetically. Through the compressed air supply one realization of the network operation and energy balance pressure of the target.
Keywords :
compressors; evolutionary computation; machinery production industries; scheduling; compressed air supply network; compression machines; energy balance pressure; evolution theory; multiobjective evolutionary algorithm; network optimization scheduling control system; surplus compressed air compressor; Atmospheric modeling; Control systems; Electricity; Evolutionary computation; Optimization; Scheduling; Vents; Evolutionary Algorithms; Multiobjective; Optimization Scheduling;
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
Conference_Location :
Hohhot
Print_ISBN :
978-1-4244-9436-1
DOI :
10.1109/MACE.2011.5987210
