A graph-based Lamarckian-Baldwinian hybrid for the sorting network problem

A hybrid genetic algorithm (GA) is proposed for the optimal sorting network problem. Based on a graph-theoretical viewpoint, we devised a solution repair heuristic which incorporates a strong local optimization. We also propose a new encoding scheme which combines the characteristics of Lamarckian and Baldwinian GAs. Using a single-CPU PC, we obtained results comparable to previous results obtained with supercomputers.