On the convergence of conditional gradient method for unbounded multiobjective optimization problems
arxiv(2024)
摘要
This paper focuses on developing a conditional gradient algorithm for
multiobjective optimization problems with an unbounded feasible region. We
employ the concept of recession cone to establish the well-defined nature of
the algorithm. The asymptotic convergence property and the iteration-complexity
bound are established under mild assumptions. Numerical examples are provided
to verify the algorithmic performance.
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