A GA-Based Systematic Reasoning Approach for Solving Traveling Salesman Problems Using an Orthogonal Array Crossove

Authors:
Shinn-Ying Ho;Jian-Hung Chen
Affiliations:
-;-
Venue:
HPC '00 Proceedings of the The Fourth International Conference on High-Performance Computing in the Asia-Pacific Region-Volume 2 - Volume 2
Year:
2000

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Abstract

This paper proposes a novel genetic algorithm-based systematic reasoning approach using an orthogonal array crossover (OAX) for solving the traveling salesman problem (TSP). OAX makes use of the systematic reasoning ability of orthogonal arrays that can effectively preserve superior sub-paths from parents and guide the solution towards better quality. OAX combines the advantages of two traditional approaches canonical approach and heuristic approach. It is shown empirically that OAX outperforms various superior crossovers in both accuracy and speed. AN improved OAX with a well-known heuristic method is also presented.