Experimental comparison of selection hyper-heuristics for the short-term electrical power generation scheduling problem

Authors:
Argun Berberoğlu;A. Şima Uyar
Affiliations:
Istanbul Technical University, Informatics Institute, Maslak, Turkey;Istanbul Technical University, Department of Computer Engineering, Maslak, Turkey
Venue:
EvoApplications'11 Proceedings of the 2011 international conference on Applications of evolutionary computation - Volume Part II
Year:
2011

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Abstract

This paper presents an experimental comparison of a selection hyperheuristic approach with several heuristic selection and move acceptance strategy combinations for the Short-Term Electrical Power Generation Scheduling problem. Tests are performed to analyze the efficiency of the combinations using problem instances taken from literature. Results show that the hyper-heuristic using the random permutation descent heuristic selection method and the only improving move acceptance scheme achieves the best results on the chosen problem instances. Because of the promising results, research will continue for further enhancements.