Multiobjective selection hyper-heuristics using reinforcement learning

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Multiobjective selection hyper-heuristics using reinforcement learning

Considering the multiobjective nature of real-world optimisation problems requiring a search for optimal trade-off solutions, many multiobjective metaheuristics have been proposed in the scientific literature. As observed in previous studies, different approaches show strengths on different problems...

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Bibliographic Details
Main Author:	Li, Wenwen
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2018
Subjects:	Hyper-heuristics multiobjective optimisation reinforcement learning wind farm layout optimisation
Online Access:	https://eprints.nottingham.ac.uk/53475/

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