Abstract
In Chapter 7 we compared different GA approaches for handling constraints. It seems that for a particular class of problems (like the transportation problem) we can do better: we can use a more appropriate (natural) data structure (for a transportation problem, a matrix) and specialized genetic operators which operate on matrices. Such an evolution program would be much stronger method than GENOCOP: the GENOCOP optimizes any function with linear constraints, whereas the new evolution program optimizes only transportation problems (these problems have precisely n + k −1 equalities, where n and k denote the number of sources and destinations, respectively; see the description of the transportation problem below). However, it would be very interesting to see what can we gain by introducing extra problem-specific knowledge into an evolution program.
Necessity knows no law.
Publilius Syrus, Moral Sayings
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© 1996 Springer-Verlag Berlin Heidelberg
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Michalewicz, Z. (1996). The Transportation Problem. In: Genetic Algorithms + Data Structures = Evolution Programs. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-03315-9_10
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DOI: https://doi.org/10.1007/978-3-662-03315-9_10
Publisher Name: Springer, Berlin, Heidelberg
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