Automated design of search algorithms: Learning on algorithmic components

This paper proposes AutoGCOP, a new general framework for automated design of local search algorithms. In a recently established General Combinatorial Optimisation Problem (GCOP) model, the problem of algorithm design itself is defined as a combinatorial optimisation problem. AutoGCOP defines a gene...

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Vydané v:	Expert systems with applications Ročník 185; s. 115493
Hlavní autori:	Meng, Weiyao, Qu, Rong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Elsevier Ltd 15.12.2021 Elsevier BV
Predmet:	Algorithms Automated algorithm design Automation Combinatorial analysis Composition Machine learning Markov analysis Markov chain Markov chains Optimization Reinforcement learning Route planning Search algorithms Vehicle routing Windows (intervals) Markov chain Automated algorithm design Search algorithms Reinforcement learning
ISSN:	0957-4174, 1873-6793
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