A hybrid repairing method based local search algorithm for solving the minimum weakly connected dominating set problem
Ruizhi Li , Shilin Zhang , Guoqing Sun , Xintao Ma , Dantong Ouyang , Minghao Yin , Shuli Hu
The minimum weakly connected dominating set (MWCDS) problem is a significant generalization of the minimum dominating set problem. It is a classical combinatorial optimization problem with broad applications. To address this problem, this paper proposes an efficient local search algorithm. Firstly, the algorithm employs novel reduction rules to shrink problem instances. Secondly, it utilizes a dynamic scoring mechanism based on historical information with a “safety” concept for vertex evaluation. Thirdly, it incorporates the two-level configuration checking (CC2) strategy to mitigate cycling issues during the local search process. Furthermore, a hybrid repair method is used to restore weak connectivity of the solution. Moreover, extensive experimental results demonstrate the superior performance of our algorithm and validate the effectiveness of the proposed strategies.
Local Search / Minimum Weakly Connected Dominating Set / Reduction Rules / Dynamic Scoring Mechanism
Higher Education Press 2026
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