Title :
Buffer allocation via the genetic algorithm
Author :
Liu, Chang ; Tu, Feng-sheng
Author_Institution :
Dept. of Comput. & Syst. Sci., Nankai Univ., Tianjin, China
Abstract :
The buffer allocation problem in complex stochastic production lines or queueing systems is intractable via conventional optimization techniques. Here a genetic algorithm based on simulation is adopted and it solves the problem efficiently. The algorithm is described in detail and illustrated by two examples. The advantages of the algorithm are also concluded
Keywords :
genetic algorithms; production control; queueing theory; buffer allocation; complex stochastic production lines; genetic algorithm; queueing systems; Biology computing; Computational modeling; Concurrent computing; Design optimization; Genetic algorithms; Gradient methods; Optimized production technology; Production systems; Random variables; Stochastic systems;
Conference_Titel :
Decision and Control, 1994., Proceedings of the 33rd IEEE Conference on
Conference_Location :
Lake Buena Vista, FL
Print_ISBN :
0-7803-1968-0
DOI :
10.1109/CDC.1994.410981
