Transactions of the Institute of Systems, Control and Information Engineers
Online ISSN : 2185-811X
Print ISSN : 1342-5668
Encoding Methods of Genetic Algorithm for an Optimal Production Ordering Problem in an Acid Rinsing Process of Steelmaking Plant
Makoto WAKASUGIHitoshi IIMANobuo SANNOMIYAEiji KAKOYasunori KOBAYASHI
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1997 Volume 10 Issue 4 Pages 173-181

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Abstract

This paper deals with an optimal production ordering problem for an acid rinsing process of a steelmaking plant. The problem is to determine the order of welding hot strip coils in an optimal way subject to complicated constraints. The strip coils are classified into several groups on the basis of their specifications, and the coils belonging to a same group must be arranged successively. Other constraints are precedence relationships between two adjoining coils. The genetic algorithm is applied for obtaining a suboptimal arrangement of strip coils. In our earlier paper we proposed a method for this problem. In this paper another method is proposed for individual description. A part of constraints is always satisfied in the new individual description. Numerical results are compared between the two methods.

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