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In this paper, a proportion-based robust optimization approach is developed to deal with uncertain combinatorial optimization problems. This approach assumes that a certain proportion of uncertain coefficients in each solution are allowed to change and optimizes a deterministic model so as to achieve a trade-off between optimality and feasibility when the coefficients change. We apply this approach...
Ant colony optimization (ACO) has become quite popular in recent years. It has been successfully applied to many combinatorial optimization problems. In contrast to many successful applications, the theoretical foundation of this randomized search heuristic is rather weak. One of problem is embodied in the termination condition of ACO. The few kinds of possible termination condition are used in experiment,...
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