Priority-Based genetic local search and its application to the traveling salesman problem
SEAL'06 Proceedings of the 6th international conference on Simulated Evolution And Learning
Degree constrained minimum spanning tree problem: a learning automata approach
The Journal of Supercomputing
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A new evolutionary algorithm for degree-constrained minimum spanning tree problem, which is an NP-complete problem, is proposed, and Pr fer encoding method is adopted to encode the solutions of the problem. To enhance the algorithm, two new genetic operators are specifically designed, which can avoid producing infeasible solutions. In addition, two novel local search operators are designed and combined into the algorithm to further improve the quality of solutions. As a result, the proposed evolutionary algorithm can efficiently explore the search space.