A Seeded Memetic Algorithm for Large Unit Commitment Problems
Journal of Heuristics
A comprehensive analysis of hyper-heuristics
Intelligent Data Analysis
An experimental study on hyper-heuristics and exam timetabling
PATAT'06 Proceedings of the 6th international conference on Practice and theory of automated timetabling VI
EvoApplications'11 Proceedings of the 2011 international conference on Applications of evolutionary computation - Volume Part II
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This paper introduces a hyper-heuristic approach for the Unit Commitment Problem (UCP). Tests are performed using benchmark data from literature and real-world data from the Turkish interconnected power network. The proposed hyper-heuristic and several methods applied previously to the UCP, are compared. Results show that the hyper-heuristic method achieves good results in all test sets. Furthermore, it is also a robust method for increased problem sizes without the need for parameter tuning. Based on the promising results, research will continue for further improvements.