Operations Research Transactions ›› 2010, Vol. 14 ›› Issue (1): 46-54.
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Chen-Yao, HUANG Xue-Xiang, GUO Li
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Abstract: In this paper, we first characterize the nonemptiness and boundedness of the efficient solution set of a cone-constrained convex vector optimization problem whose domination cone is polyhedral. Then, we apply a key condition in the characterizations to the convergence analysis of a class of penalty methods.
Chen-Yao, HUANG Xue-Xiang, GUO Li. Set in Constrained Convex Vector Optimization[J]. Operations Research Transactions, 2010, 14(1): 46-54.
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