Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 4 of 4 for “"Hyper-heuristics"”.
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Using Reinforcement Learning in Solving Exam Timetabling Problems
… method that meets these requirements is the hyper-heuristic. A hyper-heuristic is a unique method as it explores the space of low-level heuristics rather than specific problem domains. Two common types of hyper-heuristic have been proposed in the literature: selection hyper-heuristics and …
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GOssiping Optimization Framework (GOOF): A decentralized P2P architecture for function optimization
… running instances. We propose and detail novel heuristics and hyper-heuristics. Experimental results obtained both in simulated and real P2P environments are presented and discussed as well. Distributed optimization has a long and rich history, but little has been done to make it exploit the …
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Automatic calibration of an urban microclimate model under uncertainty
… on the UWG model. In particular, an online hyper-heuristic evolutionary algorithm (EA) is proposed and developed to accelerate the calibration process. The UWG is a fairly robust simulator to approximate the urban thermal behavior for dierent seasons. The validation results show that, in …
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Inverse Design and Optimization Methods for Thermophotovoltaic Emitters made of Tungsten Gratings
… is infeasible. This prompts the use of metaheuristics. It should be noted that due to the stochastic nature of these optimization methods, a globally optimal solution is not guaranteed, and instead, these methods seek to provide "close enough" solutions. Generally, metaheuristic algorithms …