Title :
Genetic algorithms in lot sizing decisions
Author :
Hernandez, William ; Suer, Gursel A.
Author_Institution :
Dept. of Ind. Eng., Puerto Rico Univ., Mayaguez, Puerto Rico
Abstract :
This paper presents a genetic algorithm approach for the lot sizing problem. The lot sizing problem is defined as obtaining the order quantities for an uncapacitated, no shortages allowed, single-item, and single-level case. Experimentation was conducted to evaluate how different aspects of the genetic algorithm affect the results. In particular it was observed how scaling has the biggest impact
Keywords :
genetic algorithms; operations research; genetic algorithms; lot sizing decisions; no shortages allowed case; order quantities; scaling; single-item case; single-level case; uncapacitated case; Cost function; Decision making; Equations; Genetic algorithms; H infinity control; Industrial engineering; Lot sizing; Mathematical model;
Conference_Titel :
Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5536-9
DOI :
10.1109/CEC.1999.785558
