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• W2400466057 abstract "Population based heuristic optimization techniques, though powerful, are often limited by the memory size of hardware context when implemented on micro-controllers, embedded systems and commercial robots platforms etc. On the other hand, the teaching-learning based optimization algorithm (TLBO) is a recently proposed algorithm of high performance on both constrained and unconstrained optimization problems. In this paper, a new compact teachinglearning based optimization algorithm (cTLBO) is proposed to combine the strength of the original TLBO and reduce the memory requirement through a compact structure that utilizes an adaptive statistic description to replace the process of a population of solutions. Numerical results on test benchmark functions show that the new algorithm does not sacrifice the efficiency within the limited hardware resources." @default.
• W2400466057 created "2016-06-24" @default.
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• W2400466057 date "2014-01-01" @default.
• W2400466057 modified "2023-09-27" @default.
• W2400466057 title "A New Compact Teaching-Learning-Based Optimization Method" @default.
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• W2400466057 doi "https://doi.org/10.1007/978-3-319-09339-0_72" @default.
• W2400466057 hasPublicationYear "2014" @default.
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