Computer Science – Artificial Intelligence
Scientific paper
2009-07-17
Proceedings of the 8th Metaheuristics International Conference MIC 2009, July 13-16, 2009, Hamburg, Germany, pp 195.1-195.10
Computer Science
Artificial Intelligence
Scientific paper
The article describes the proposition and application of a local search metaheuristic for multi-objective optimization problems. It is based on two main principles of heuristic search, intensification through variable neighborhoods, and diversification through perturbations and successive iterations in favorable regions of the search space. The concept is successfully tested on permutation flow shop scheduling problems under multiple objectives and compared to other local search approaches. While the obtained results are encouraging in terms of their quality, another positive attribute of the approach is its simplicity as it does require the setting of only very few parameters.
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