Title :
A graph-based Lamarckian-Baldwinian hybrid for the sorting network problem
Author :
Choi, Sung-Soon ; Moon, Byung-Ro
Author_Institution :
Sch. of Comput. Sci. & Eng., Seoul Nat. Univ., South Korea
Abstract :
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.
Keywords :
genetic algorithms; graph theory; sorting; Lamarckian Baldwinian hybrid encoding; graph theory; hybrid genetic algorithm; optimal sorting network problem; solution repair heuristic; Biological cells; Encoding; Genetic algorithms; Hardware; Logic; Moon; Search methods; Sorting; Stochastic processes; Supercomputers;
Journal_Title :
Evolutionary Computation, IEEE Transactions on
DOI :
10.1109/TEVC.2004.841682
