Title :
Evolutionary synthesis of optimal control policies for manufacturing systems
Author :
Porter, B. ; Merzougui, T.
Author_Institution :
Dept of Ind. & Manuf. Syst. Eng., Hong Kong Univ., Hong Kong
Abstract :
In this paper, evolution strategies are used to synthesise optimal control policies for manufacturing systems. The evolutionary procedure is illustrated by synthesising optimal control policies for a manufacturing system previously considered in the context of genetic synthesis. The performance of evolution strategies and that of genetic algorithms are compared in detail for this system, thus indicating that the evolutionary synthesis procedure is faster than the genetic synthesis procedure
Keywords :
genetic algorithms; optimal control; production control; differential equation; evolutionary synthesis; genetic algorithms; manufacturing systems; optimal control policy; production control; scheduling; Automatic control; Control system synthesis; Electrical equipment industry; Genetic algorithms; Industrial control; Manufacturing industries; Manufacturing systems; Optimal control; Production systems; Vectors;
Conference_Titel :
Emerging Technologies and Factory Automation Proceedings, 1997. ETFA '97., 1997 6th International Conference on
Conference_Location :
Los Angeles, CA
Print_ISBN :
0-7803-4192-9
DOI :
10.1109/ETFA.1997.616287
