Category Archives: Article

“A heuristic approach to schedule reoptimization in the context of interactive optimization”

New publication

David Meignan, “A heuristic approach to schedule reoptimization in the context of interactive optimization”, GECCO’14, pp. 461-468, 2014. DOI: 10.1145/2576768.2598213

Abstract: Optimization models used in planning and scheduling systems are not exempt from inaccuracies. These optimization systems often require an expert to assess solutions and to adjust them before taking decisions. However, adjusting a solution computed by an optimization procedure is difficult, especially because of the cascading effect. A small modification in a candidate solution may require to modify a large part of the solution. This obstacle to the adjustment of a solution can be overcome by interactive reoptimization. In this paper we analyze the impact of the cascading effect on a shift-scheduling problem and propose an efficient heuristic approach for reoptimizing solutions. The proposed approach is a local-search metaheuristic that has been adapted to the reoptimization. This approach is evaluated on a set of problem instances on which additional preferences are generated to simulate desired adjustments of a decision maker. Experimental results indicate that, even with a small perturbation, the cascading effect is manifest and cannot be efficiently tackled by applying recovery actions. Moreover, results show that the proposed reoptimization method provides significant cost gains within a short time while keeping a level of simplicity and modularity adequate for an implementation in a decision support system.

Article accepted at GECCO’2014 and nominated for best paper award

geccoCoverThe article “A heuristic approach to schedule reoptimization in the context of interactive optimization” (author: David Meignan), has been accepted at the next GECCO conference to be held in Vancouver (Canada). The paper has been nominated for a best paper award in the track “Evolutionary Combinatorial Optimization and Metaheuristics”.


“Praise (by Günther Raidl and Thomas Stützle): This paper proposes a new heuristic approach to the re-optimization of schedules, which is a task that frequently arises in practical situations, where experts assess and adjust solutions before taking final decisions. A detailed experimental study clearly establishes the effectiveness and the adequacy of the proposed approach.”