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

Abstract

Full Citation:

Reixach, Jaume, Blum, Christian, Djukanović, Marko, Raidl, Günther R.. 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 and M. Wagner), 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.