A. Nareyek. An empirical analysis of weight-adaptation strategies for neighborhoods of heuristics. In Fourth Metaheuristic International Conference MIC'2001. Home/Search Document Details and Download
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Choice Function and Random Hyperheuristics - Kendall, Soubeiga, Cowling (2002) (1 citation) (Correct)
....quality, based on a set of easy to implement low level heuristics. In order to apply a hyperheuristic to a given problem, all we need is a set of low level heuristics and a formal means of evaluating solution quality. Similar approaches of managing several lowlevel heuristics are proposed in [11] in which to each lowlevel heuristic is associated a utility function and a preference weight. Different weight adaptation schemes are empirically compared using two problems (Orc Quest and Logistic Domains) In this paper we focus on a class of hyperheuristics, the choice function based ....
A. Nareyek. An empirical analysis of weightadaptation strategies for neighbourhoods of heuristics. Proceedings of the 4th Metaheuristic International Conference, MIC 2001, 211-215.
Scheduling Nurses Using a Tabu-Search Hyperheuristic - Burke, Soubeiga (2003) (2 citations) (Correct)
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A. Nareyek. An empirical analysis of weight-adaptation strategies for neighborhoods of heuristics. In Fourth Metaheuristic International Conference MIC'2001.
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