Combinatorial Optimization Method Using Expanded Search Mechanism Based on Hierarchical Interpretation in Solution Space
LI Xu-yuan, Kenichi Tamura, Jun-ichi Tsuchiya, Keiichiro Yasuda · 2019
In this paper, we introduce a new expanded search mechanism, which pays attention to updating the group of solutions searched by same search point rather than just a solution. After confirming the affinities to “Hierarchical Interpretation of Solution Space which is also proposed by our research group, we adapt the expanded search mechanism to the search tactics based on the structure above. This assembly allows us to search solutions by expanding the explored area in the combinatorial optimization problem solution space, rather than searching in a route. In addition, remained issues in previous tactics can also be solved. To verify the basic performance of the expanded search mechanism, we propose a new combinatorial optimization method with previous strategies, and compare it with previous method by numerical experiment. Finally, the new mechanism's potentials are discussed.