Title :
Multi-objective Decision Algorithm Based on Adaptive Genetic Algorithm and Grey Relation Degree
Author :
Li, Junfeng ; Dai, Wenzhan
Author_Institution :
Dept. of Autom. control, Zhejiang Sci-Tech Univ., Hangzhou
Abstract :
Based on adaptive genetic algorithm and grey relation degree, a new algorithm for multi-objective decision is put forward. First, the multi-objective problem is divided up into multiple single-objective problems. Then the optimal results of these single-objective problems are respectively solved and unified which consist of referenced vector. Second, the grey relation degree between each individual and the referenced vector is calculated, and the grey relation degree is assigned as the fitness of the individual. At last, the Pareto optimal sets are selected by using adaptive genetic algorithm so that variety of population is saved. Simulation examples show the effectiveness of the proposed approach.
Keywords :
genetic algorithms; adaptive genetic algorithm; grey relation degree; multi-objective decision algorithm; Adaptive control; Biological system modeling; Costs; Educational institutions; Evolution (biology); Genetic algorithms; Genetic engineering; Linearity; Pareto optimization; Programmable control; adaptive genetic algorithm; grey relation degree; multi-objective decision;
Conference_Titel :
Control, Automation, Robotics and Vision, 2006. ICARCV '06. 9th International Conference on
Conference_Location :
Singapore
Print_ISBN :
1-4244-0341-3
Electronic_ISBN :
1-4214-042-1
DOI :
10.1109/ICARCV.2006.345094