Summary
Efficient mixing of building blocks is important for genetic algorithms and linkage identification methods that identify interdependent variables tightly linked to form a building block have been proposed. However, they have not been applied to real-world problems enough. In this chapter, we apply a genetic algorithm incorporating a linkage identification method called D5 and a crossover method called CDC to a network design problem to verify its performance and examine the applicability of linkage identification genetic algorithms.
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Tsuji, M., Munetomo, M., Akama, K. (2008). A Network Design Problem by a GA with Linkage Identification and Recombination for Overlapping Building Blocks. In: Chen, Yp., Lim, MH. (eds) Linkage in Evolutionary Computation. Studies in Computational Intelligence, vol 157. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85068-7_18
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DOI: https://doi.org/10.1007/978-3-540-85068-7_18
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