Résumés
Abstract
We study a variant of the two-phase method for general bi-objective combinatorial optimization problems. First, we analyze a basic enumerative procedure, often used in literature to solve specific bi-objective combinatorial optimization problems, making it suitable to solve general problems. We show that the procedure generates the exact set E of efficient points by solving exactly 2[notdef]E[notdef] − 1 single objective problems. Second, we embed the procedure in a classic two-phase framework, where supported points are computed in the first phase and unsupported points are computed in the second phase.
We test the refined approach on a hard problem, namely the Traveling Salesman Problem with Profits, a bi-objective generalization of the well known Traveling Salesman Problem. On the tested instances, the procedure outperforms the [epsilon1]-constraint method, one of the most used approaches to solve exactly general bi-objective combinatorial optimization problems.
Keywords:
- Combinatorial optimization,
- Multiple objective programming,
- Efficient points,
- Pareto optima,
- Two-phase method,
- Traveling salesman with profits
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