A Neural Network Based Guidance for a BRKGA: An Application to the Longest Common Square Subsequence Problem

Abstract

Full Citation:

Jaume Reixach, Christian Blum, Marko Djukanović, Günther R. Raidl. A Neural Network Based Guidance for a BRKGA: An Application to the Longest Common Square Subsequence Problem. Evolutionary Computation in Combinatorial Optimization – 23rd European Conference, EvoCOP 2024 (T. Stützle, M. Wagner, eds.), volume 14632 of LNCS, pages 1–15, 2024, Springer. (Note: best paper award winner)

Günther Raidl

Günther Raidl is a Professor at the Algorithms and Complexity Group.