DocumentCode
2809752
Title
Notice of Retraction
A Hybrid Optimization Method and Application in Traffic Signal Timings Optimization
Author
Chen Xiao-feng ; Shi Zhong-ke
Author_Institution
Sch. of Autom. Control, Northwestern Polytech. Univ., Xi´an, China
fYear
2009
fDate
11-13 Dec. 2009
Firstpage
1
Lastpage
4
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 deals with a hybrid optimization method for solving the optimization problems with inequality constraints and equality constraints, in which an adaptive penalty strategy is firstly adopted to convert the optimization problem with both equality constraints and inequality constraints to one only with lower and upper bound constraint of decision variables, then an adaptive real-coded genetic algorithm combined with a local search algorithm is employed to optimize the problem. For improving the optimization effect of the real-coded genetic algorithm, the adaptive crossover probability and mutation probability are designed. Finally, to examine the validity of the hybrid optimization method, the method and other two algorithms are used to optimize the traffic signal timings optimization problem of an isolated intersection, and a large number of simulations show that the hybrid optimization method proposed in this paper can work well in the traffic signal timings optimization problem.
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 deals with a hybrid optimization method for solving the optimization problems with inequality constraints and equality constraints, in which an adaptive penalty strategy is firstly adopted to convert the optimization problem with both equality constraints and inequality constraints to one only with lower and upper bound constraint of decision variables, then an adaptive real-coded genetic algorithm combined with a local search algorithm is employed to optimize the problem. For improving the optimization effect of the real-coded genetic algorithm, the adaptive crossover probability and mutation probability are designed. Finally, to examine the validity of the hybrid optimization method, the method and other two algorithms are used to optimize the traffic signal timings optimization problem of an isolated intersection, and a large number of simulations show that the hybrid optimization method proposed in this paper can work well in the traffic signal timings optimization problem.
Keywords
genetic algorithms; probability; road traffic; search problems; adaptive crossover probability; adaptive penalty strategy; adaptive real-coded genetic algorithm; equality constraints; hybrid optimization method; inequality constraints; local search algorithm; low bound constraint; mutation probability; traffic signal timing optimization method; upper bound constraint; Adaptive equalizers; Constraint optimization; Decision feedback equalizers; Design optimization; Genetic algorithms; Genetic mutations; Optimization methods; Timing; Traffic control; Upper bound;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4507-3
Type
conf
DOI
10.1109/CISE.2009.5362928
Filename
5362928
Link To Document