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pro vyhledávání: '"Sim, Kevin"'
Deep neural networks (DNN) are increasingly being used to perform algorithm-selection in combinatorial optimisation domains, particularly as they accommodate input representations which avoid designing and calculating features. Mounting evidence from
Externí odkaz:
http://arxiv.org/abs/2406.16609
Dynamic algorithm selection aims to exploit the complementarity of multiple optimization algorithms by switching between them during the search. While these kinds of dynamic algorithms have been shown to have potential to outperform their component a
Externí odkaz:
http://arxiv.org/abs/2302.09075
We propose a novel technique for algorithm-selection, applicable to optimisation domains in which there is implicit sequential information encapsulated in the data, e.g., in online bin-packing. Specifically we train two types of recurrent neural netw
Externí odkaz:
http://arxiv.org/abs/2203.13392
Publikováno v:
In Journal of Computer Languages August 2022 71
Autor:
Sim, Kevin
Principal to the ideology behind hyper-heuristic research is the desire to increase the level of generality of heuristic procedures so that they can be easily applied to a wide variety of problems to produce solutions of adequate quality within pract
Externí odkaz:
https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.637621
Publikováno v:
In Agricultural and Forest Meteorology 15 February 2019 265:16-29
Akademický článek
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Autor:
Liew, Ian Yang, Phua, Hwee Pin, Lim, Wei Yen, Chow, Angela, Loo, Xiu Ying, Sim, Kevin, Lee, Eng Sing, Yew, Kuo Chao
Publikováno v:
In Journal of Hepatology June 2024 80 Supplement 1:S497-S498
Autor:
Hart, Emma1 e.hart@napier.ac.uk, Sim, Kevin1 k.sim@napier.ac.uk
Publikováno v:
Evolutionary Computation. Spring2018, Vol. 26 Issue 1, p67-87. 21p.