Abstract
The main principle of a look-ahead strategy is to inspect a few steps ahead before taking a decision on the direction to choose. We propose two original look-ahead strategies that differ in the object of inspection. The first method introduces a look-ahead mechanism at a superior level for selecting local-search operators. The second method uses a look-ahead strategy on a lower level in order to detect promising solutions for further improvement. The proposed approaches are implemented using a hyper-heuristic framework and tested against alternative methods. Furthermore, a more detailed investigation of the second method is added and gives insight on the influence of parameter values. The experiments reveal that the introduction of a simple look-ahead strategy into an iterated local-search procedure significantly improves the results over tested problem instances.
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Notes
- 1.
The benchmark for determining the time limit is available at: http://www.asap.cs.nott.ac.uk/external/chesc2011/benchmarking.html, (Accessed November 2013).
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Meignan, D., Schwarze, S., Voß, S. (2014). Two Look-Ahead Strategies for Local-Search Metaheuristics. In: Pardalos, P., Resende, M., Vogiatzis, C., Walteros, J. (eds) Learning and Intelligent Optimization. LION 2014. Lecture Notes in Computer Science(), vol 8426. Springer, Cham. https://doi.org/10.1007/978-3-319-09584-4_18
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DOI: https://doi.org/10.1007/978-3-319-09584-4_18
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