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Rank-driven salp swarm algorithm with orthogonal opposition-based learning for global optimization: Rank-driven salp swarm algorithm with orthogonal opposition-based learning for global optimization
Wang, Zongshan, Ding, Hongwei, Yang, Zhijun, Li, Bo, Guan, Zheng, Bao, Liyong
Published in Applied intelligence (Dordrecht, Netherlands) (01.05.2022)
Published in Applied intelligence (Dordrecht, Netherlands) (01.05.2022)
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Journal Article
Phenomenological model-based study on electron beam welding process, and input-output modeling using neural networks trained by back-propagation algorithm, genetic algorithms, particle swarm optimization algorithm and bat algorithm
Das, Debasish, Pratihar, Dilip Kumar, Roy, Gour Gopal, Pal, Abhishek Rudra
Published in Applied intelligence (Dordrecht, Netherlands) (01.09.2018)
Published in Applied intelligence (Dordrecht, Netherlands) (01.09.2018)
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Journal Article
A novel chaotic salp swarm algorithm for global optimization and feature selection
Sayed, Gehad Ismail, Khoriba, Ghada, Haggag, Mohamed H.
Published in Applied intelligence (Dordrecht, Netherlands) (01.10.2018)
Published in Applied intelligence (Dordrecht, Netherlands) (01.10.2018)
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Journal Article
A hybrid training algorithm based on gradient descent and evolutionary computation
Xue, Yu, Tong, Yiling, Neri, Ferrante
Published in Applied intelligence (Dordrecht, Netherlands) (01.09.2023)
Published in Applied intelligence (Dordrecht, Netherlands) (01.09.2023)
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Journal Article
Optimal feature selection in industrial foam injection processes using hybrid binary Particle Swarm Optimization and Gravitational Search Algorithm in the Mahalanobis–Taguchi System
Reséndiz-Flores, Edgar O., Navarro-Acosta, Jesús Alejandro, Hernández-Martínez, Agustín
Published in Soft computing (Berlin, Germany) (01.01.2020)
Published in Soft computing (Berlin, Germany) (01.01.2020)
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Journal Article