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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ochoa, G. Vazquez-Rodriguez, J.A. Petrovic, S. Burke, E. |
| Copyright Year | 2009 |
| Description | Author affiliation: Automated Scheduling, optimisAtion and Planning Research Group, School of Computer Science and Information Technology, University of Nottingham, Jubilee Campus, Wollaton Road, NG8 1BB, UK (Ochoa, G.; Vazquez-Rodriguez, J.A.; Petrovic, S.; Burke, E.) |
| Abstract | Hyper-heuristics or “heuristics to chose heuristics” are an emergent search methodology that seeks to automate the process of selecting or combining simpler heuristics in order to solve hard computational search problems. The distinguishing feature of hyper-heuristics, as compared to other heuristic search algorithms, is that they operate on a search space of heuristics rather than directly on the search space of solutions to the underlying problem. Therefore, a detailed understanding of the properties of these heuristic search spaces is of utmost importance for understanding the behaviour and improving the design of hyper-heuristic methods. Heuristics search spaces can be studied using the metaphor of fitness landscapes. This paper formalises the notion of hyper-heuristic landscapes and performs a landscape analysis of the heuristic search space induced by a dispatching-rule-based hyper-heuristic for production scheduling. The studied hyper-heuristic spaces are found to be “easy” to search. They also exhibit some special features such as positional bias and neutrality. It is argued that search methods that exploit these features may enhance the performance of hyper-heuristics. |
| Starting Page | 1873 |
| Ending Page | 1880 |
| File Size | 1258190 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424429585 |
| DOI | 10.1109/CEC.2009.4983169 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-05-18 |
| Publisher Place | Norway |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Dispatching Production Space technology Processor scheduling Search problems Heuristic algorithms Design methodology Search methods Scheduling algorithm Performance analysis |
| Content Type | Text |
| Resource Type | Article |
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