A large-scale global optimization algorithm with a new adaptive computing resource allocation mechanism-Reference-Cited by-同舟云学术

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A large-scale global optimization algorithm with a new adaptive computing resource allocation mechanism

Published:2023-01-16 Issue:5 Volume:16 Page:1645-1651
ISSN:1864-5909
Container-title:Evolutionary Intelligence
language:en
Short-container-title:Evol. Intel.

Author:

Bao Xuefan,Wei Fei,Liang Fei

Funder

Natural Science Foundation of China

Natural Science Foundation of Shaanxi Province

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Vision and Pattern Recognition,Mathematics (miscellaneous)

Link

https://link.springer.com/content/pdf/10.1007/s12065-023-00818-2.pdf

Reference17 articles.

1. Mandavi S, Shiri ME, Rahnamayan S (2015) Metaheuristics in large-scale global continues optimization: a survey. Inf Sci 295:407–428

2. Lagrange A, Fauvel M, Grizonnet M (2017) Large-scale feature selection with Gaussian mixture models for the classification of high dimensional remote sensing images. IEEE Trans Comput Imaging 3(2):230–242

3. Yang Z, Sendhoff B, Tang K et al (2016) Target shape design optimization by evolving B-splines with cooperative coevolution. Appl Soft Comput 48:672–682

4. Villaverde AF, Egea JA, Banga JR (2012) A cooperative strategy for parameter estimation in large scale systems biology models. BMC Syst Biol 6:75–75

5. Potter M , De Jong K A (1994) A cooperative coevolutionary approach to function optimization. In: Third parallel problem solving form nature, pp 249–257

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