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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Bibliographic Details
Published in:	Expert systems with applications Vol. 185; p. 115493
Main Authors:	Meng, Weiyao, Qu, Rong
Format:	Journal Article
Language:	English
Published:	New York Elsevier Ltd 15.12.2021 Elsevier BV
Subjects:	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
Online Access:	Get full text
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