An adaptive multi meme memetic algorithm embedding choice function, reinforcement learning and simple random hyperheuristicsTools Ozcagdavul, Mazlum (2015) An adaptive multi meme memetic algorithm embedding choice function, reinforcement learning and simple random hyperheuristics. [Dissertation (University of Nottingham only)] Full text not available from this repository.AbstractHyperheuristics are intended to be reusable domain independent approaches for solving complex computational problems. There are tailored approaches successfully applied to a specific problem, however they require parameter tuning and cannot be applied to another problem. Memetic Algorithms are a combination of genetic algorithms and local search methods. The evolutionary interaction of memes helps to create intelligent complexes which are able to solve computational problems.
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