Title :
The Non-dominated Sorting Genetic Algorithm Based on Layered Target
Author :
Shi, LianShuan ; Chen, YinMei
Author_Institution :
Shool of Inf. Technol. Eng., Tianjin Univ. of Technol. & Educ., Tianjin, China
Abstract :
An improved non-dominated sorting genetic algorithm based on layered objective is given. Two improvements on the traditional non-dominated sorting genetic algorithm are proposed that are new layer method (layered target) and the new selection mechanism (cycle through the first 1/2 layer according to the hierarchy). The simulation results show that the non-dominated sorting genetic algorithm based on layered target can effectively speed up the convergence rate of population.
Keywords :
genetic algorithms; layer method; layered objective; layered target; nondominated sorting genetic algorithm; population convergence rate; selection mechanism; Convergence; Evolutionary computation; Genetic algorithms; Pareto optimization; Sorting; Vectors; genetic algorithm; layered target; multi-objective optimization;
Conference_Titel :
Intelligent Networks and Intelligent Systems (ICINIS), 2011 4th International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4577-1626-3
DOI :
10.1109/ICINIS.2011.62
