An abstract interface for large-scale continuous optimization decomposition methods-Reference-Cited by-同舟云学术

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An abstract interface for large-scale continuous optimization decomposition methods

Published:2021-07-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Genetic and Evolutionary Computation Conference Companion
language:
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Author:

Lopes Rodolfo A.¹,Silva Rodrigo C. P.¹,de Freitas Alan R. R.²

Affiliation:

1. Federal University of Ouro Preto, Ouro Preto, Brazil

2. Federal University of Ouro Preto,Ouro Preto, Brazil

Funder

UFOP

CNPq

FAPEMIG

CAPES

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3449726.3463188

Reference30 articles.

1. A. Banitalebi M. Aziz and Z. Aziz. 2016. A self-adaptive binary differential evolution algorithm for large scale binary optimization problems. Information Sciences 367-368 (2016) 487--511. A. Banitalebi M. Aziz and Z. Aziz. 2016. A self-adaptive binary differential evolution algorithm for large scale binary optimization problems. Information Sciences 367-368 (2016) 487--511.

2. Performance comparison of self-adaptive and adaptive differential evolution algorithms

3. Differential Evolution: A Survey of the State-of-the-Art

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1. Gray-box local search with groups of step sizes;Soft Computing;2023-09-13

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