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Published in:
2005 | OriginalPaper | Chapter
Lot-Sizing in a Foundry Using Genetic Algorithm and Repair Functions
Author : Jerzy Duda
Published in: Evolutionary Computation in Combinatorial Optimization
Publisher: Springer Berlin Heidelberg
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The paper presents a study of genetic algorithms applied to a lot-sizing problem, which has been formulated for an operational production planning in a foundry. Three variants of genetic algorithm are considered, each of them using special crossover and mutation operators as well as repair functions. The real size test problems, based on the data taken from the production control system, are presented for assessment of the proposed algorithms. The obtained results show that the genetic algorithm with two repair functions can generate good suboptimal solutions in the time, which can be acceptable from the decision maker point of view.