TY - GEN
T1 - Benchmarking Many-Objective Topology and Weight Evolution of Neural Networks
T2 - 2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021
AU - Salih, Adham
AU - Moshaiov, Amiram
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - This study aims to provide procedures and benchmark problems to test the optimization capabilities of algorithms for Many-Objective Topology and Weight Evolution of Artificial Neural Networks (MaO-TWEANNs). In particular, the proposed benchmarks are based on a combination of continuous functions that have commonly been used to test single-objective optimization algorithms. In addition, this paper applies the proposed procedures and benchmark problems to evaluate NEWS/D, which is such an algorithm that has recently been introduced. The results of this study validate the optimization capabilities of NEWS/D for MaO-TWEANN problems with continuous outputs.
AB - This study aims to provide procedures and benchmark problems to test the optimization capabilities of algorithms for Many-Objective Topology and Weight Evolution of Artificial Neural Networks (MaO-TWEANNs). In particular, the proposed benchmarks are based on a combination of continuous functions that have commonly been used to test single-objective optimization algorithms. In addition, this paper applies the proposed procedures and benchmark problems to evaluate NEWS/D, which is such an algorithm that has recently been introduced. The results of this study validate the optimization capabilities of NEWS/D for MaO-TWEANN problems with continuous outputs.
KW - Artificial Neural Networks
KW - Decomposition Approach
KW - Many-objective Optimization
KW - Neural Architecture Search
KW - Neuro-evolution
KW - Topology and Weight Evolution
UR - http://www.scopus.com/inward/record.url?scp=85125818249&partnerID=8YFLogxK
U2 - 10.1109/SSCI50451.2021.9659924
DO - 10.1109/SSCI50451.2021.9659924
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AN - SCOPUS:85125818249
T3 - 2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings
BT - 2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 5 December 2021 through 7 December 2021
ER -