Title :
Modelling and optimization for a type of fuzzy nonlinear programming problems in manufacturing systems
Author :
Jiafu Tang ; Dingwei Wang
Author_Institution :
Dept. of Autom. Control, Northeastern Univ., Liaoning, China
Abstract :
A model for a type of fuzzy nonlinear programming problems (FNP) is proposed. This paper develops an inexact approach to solve this type model of nonlinear programming problems. Instead of finding an exact optimal solution. This approach uses a genetic algorithm (GA) with mutation along the weighted gradient direction to find a family of solutions with acceptable membership degrees. Then by means of human-computer interaction, the solution preferred by the decision maker (DM) under different criteria can be achieved.
Keywords :
decision theory; fuzzy set theory; genetic algorithms; manufacturing resources planning; nonlinear programming; production control; decision maker; fuzzy nonlinear programming problems; genetic algorithm; human-computer interaction; inexact approach; manufacturing systems; membership degrees; mutation; weighted gradient direction; Automatic programming; Delta modulation; Fuzzy control; Fuzzy systems; Genetic mutations; Job shop scheduling; Mathematical programming; Optimization methods; Production systems; Virtual manufacturing;
Conference_Titel :
Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
Conference_Location :
Kobe, Japan
Print_ISBN :
0-7803-3590-2
DOI :
10.1109/CDC.1996.577485
