DocumentCode
2316166
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
fYear
2006
fDate
5-8 Dec. 2006
Firstpage
1
Lastpage
5
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICARCV.2006.345094
Filename
4150004
Link To Document