Genetic algorithms in lot sizing decisions

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 20 Jan 2003Publisher:IEEEJournal:Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406)

Authors: William Hernandez; Gürsel A. Süer;

doi: 10.1109/cec.1999.785558

Genetic algorithms in lot sizing decisions

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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.

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University of Puerto Rico System
United States

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