Titlebook: Artificial Evolution; 11th International C Pierrick Legrand,Marc-Michel Corsini,Marc Schoenau Conference proceedings 2014 Springer Internat

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Jelena Plačkić,Jens Kockskämperthat the favorable performance of GOMEA instances over traditional GAs extends to the real-world problem at hand. Moreover, the use of linkage learning is shown to further increase the algorithm’s effectiveness in converging toward optimal solutions.

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Local Optima Networks of the Permutation Flow-Shop Problemntations, namely, swap and insertion, are incorporated into the network landscape model. The performance of a heuristic search algorithm on this problem is also analyzed. In particular, we study the correlation between local optima network features and the performance of an iterated local search heu