Proceedings of the 2003 ACM symposium on Applied computing
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Improvement of bounded-diameter MST instances with hybridization of multi-objective EA
Proceedings of the 2011 International Conference on Communication, Computing & Security
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In this paper, we consider a biobjective minimum spanning tree problem (MOST) and minimize two objectives - tree cost and diameter - in terms of Pareto-optimality. We assess the quality of obtained MOEA solutions in comparison to well-known diameter-constrained minimum spanning tree (dc-MST) algorithms and further improve MOEA solutions using problem-specific knowledge.