Bi-space Interactive Cooperative Coevolutionary algorithm for large scale black-box optimization-Reference-Cited by-同舟云学术

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Bi-space Interactive Cooperative Coevolutionary algorithm for large scale black-box optimization

Published:2020-12 Issue: Volume:97 Page:106798
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Ge Hongwei,Zhao Mingde,Hou Yaqing,Kai Zhang,Sun Liang,Tan Guozhen,Zhang Qiang,Philip Chen C.L.

Funder

National Natural Science Foundation of China

National Key R&D Program of China

Dalian Science and Technology Bureau

Publisher

Elsevier BV

Subject

Software

Reference55 articles.

1. LM-CMA: An alternative to L-BFGS for large-scale black box optimization;Loshchilov;Evol. Comput.,2017

2. A simple yet efficient evolution strategy for large-scale black-box optimization;Li;IEEE Trans. Evol. Comput.,2018

3. Hybrid surrogate-based optimization using space reduction (HSOSR) for expensive black-box functions;Dong;Appl. Soft Comput.,2018

4. Black box optimization using evolutionary algorithm with novel selection and replacement strategies based on similarity between solutions;Ismkhan;Appl. Soft Comput.,2018

5. Spectral clustering based on iterative optimization for large-scale and high-dimensional data;Zhao;Neurocomputing,2018

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