Choosing Best Fitness Function with Reinforcement Learning

Arina Buzdalova; Maxim Buzdalov

doi:10.1109/ICMLA.2011.163

Choosing Best Fitness Function with Reinforcement Learning

Arina Buzdalova, Maxim Buzdalov

ITMO University

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Trafodion Cynhadledd (Nid-Cyfnodolyn fathau)

11 Dyfyniadau (Scopus)

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This paper describes an optimization problem with one target function to be optimized and several supporting functions that can be used to speed up the optimization process. A method based on reinforcement learning is proposed for choosing a good supporting function during optimization using genetic algorithm. Results of applying this method to a model problem are shown.

Iaith wreiddiol	Saesneg
Teitl	ICMLA '11
Is-deitl	Proceedings of the 2011 10th International Conference on Machine Learning and Applications and Workshops
Cyhoeddwr	IEEE Press
Tudalennau	354-357
Nifer y tudalennau	4
Cyfrol	2
ISBN (Argraffiad)	978-1-4577-2134-2
Dynodwyr Gwrthrych Digidol (DOIs)	https://doi.org/10.1109/ICMLA.2011.163
Statws	Cyhoeddwyd - 11 Rhag 2011
Cyhoeddwyd yn allanol	Ie

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10.1109/ICMLA.2011.163

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https://www.scopus.com/record/display.uri?eid=2-s2.0-84857867105&origin=resultslist

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@inproceedings{401e605550bd4867a13042a21011fdf7,

title = "Choosing Best Fitness Function with Reinforcement Learning",

abstract = "This paper describes an optimization problem with one target function to be optimized and several supporting functions that can be used to speed up the optimization process. A method based on reinforcement learning is proposed for choosing a good supporting function during optimization using genetic algorithm. Results of applying this method to a model problem are shown.",

author = "Arina Buzdalova and Maxim Buzdalov",

year = "2011",

month = dec,

day = "11",

doi = "10.1109/ICMLA.2011.163",

language = "English",

isbn = "978-1-4577-2134-2",

volume = "2",

pages = "354--357",

booktitle = "ICMLA '11",

publisher = "IEEE Press",

address = "United States of America",

}

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T1 - Choosing Best Fitness Function with Reinforcement Learning

AU - Buzdalova, Arina

AU - Buzdalov, Maxim

PY - 2011/12/11

Y1 - 2011/12/11

N2 - This paper describes an optimization problem with one target function to be optimized and several supporting functions that can be used to speed up the optimization process. A method based on reinforcement learning is proposed for choosing a good supporting function during optimization using genetic algorithm. Results of applying this method to a model problem are shown.

AB - This paper describes an optimization problem with one target function to be optimized and several supporting functions that can be used to speed up the optimization process. A method based on reinforcement learning is proposed for choosing a good supporting function during optimization using genetic algorithm. Results of applying this method to a model problem are shown.

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-84857867105&origin=resultslist

U2 - 10.1109/ICMLA.2011.163

DO - 10.1109/ICMLA.2011.163

M3 - Conference Proceeding (Non-Journal item)

SN - 978-1-4577-2134-2

VL - 2

SP - 354

EP - 357

BT - ICMLA '11

PB - IEEE Press

ER -

Choosing Best Fitness Function with Reinforcement Learning

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