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A novel learning algorithm based on computing the rules’ desired outputs of a TSK fuzzy neural network with non-separable fuzzy rules

by Salimi-Badr, Armin, Ebadzadeh, Mohammad Mehdi
Published in Neurocomputing (Amsterdam) (22.01.2022)

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A Q-Learning-Based Brainstorming Optimization Algorithm for Solving Multimodal Optimization Problems

by Cheng, Shi, Jin, Honglin, Lu, Hui, Shi, Yuhui
Published in IEEE transactions on consumer electronics (01.05.2025)

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An effective teaching–learning-based optimization algorithm for the flexible job-shop scheduling problem with fuzzy processing time

by Xu, Ye, Wang, Ling, Wang, Sheng-yao, Liu, Min
Published in Neurocomputing (Amsterdam) (19.01.2015)

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A trajectory-based algorithm enhanced by Q-learning and cloud integration for hybrid flexible flowshop scheduling problem with sequence-dependent setup times: A case study

by Ozsoydan, Fehmi Burcin
Published in Computers & operations research (01.09.2025)

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Dual subgradient algorithms for large-scale nonsmooth learning problems

by Cox, Bruce, Juditsky, Anatoli, Nemirovski, Arkadi
Published in Mathematical programming (01.12.2014)

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An Improved Teaching-Learning-Based Optimization Algorithm with Reinforcement Learning Strategy for Solving Optimization Problems

by Wu, Di, Wang, Shuang, Liu, Qingxin, Abualigah, Laith, Jia, Heming
Published in Computational intelligence and neuroscience (24.03.2022)

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The ɛ-constraint as a learning strategy in the population-based algorithm: The case of Bi-Objective Obnoxious p-Median Problems

by Aïder, Méziane, Azzi, Aida-Ilham, Hifi, Mhand
Published in Knowledge-based systems (08.04.2023)

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Solving discounted {0-1} knapsack problems by a discrete hybrid teaching-learning-based optimization algorithm

by Wu, Congcong, Zhao, Jianli, Feng, Yanhong, Lee, Malrey
Published in Applied intelligence (Dordrecht, Netherlands) (01.06.2020)

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A linearly convergent doubly stochastic Gauss–Seidel algorithm for solving linear equations and a certain class of over-parameterized optimization problems

by Razaviyayn, Meisam, Hong, Mingyi, Reyhanian, Navid, Luo, Zhi-Quan
Published in Mathematical programming (01.07.2019)

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Accelerated stochastic alternating mirror descent ascent algorithm for nonconvex-strongly concave minimax problems

by Zhao, Lulu, Liu, Yue, Liu, Yong-Jin
Published in Journal of applied mathematics & computing (01.10.2025)

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Stochastic compositional gradient descent: algorithms for minimizing compositions of expected-value functions

by Wang, Mengdi, Fang, Ethan X., Liu, Han
Published in Mathematical programming (01.01.2017)

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A gamified teaching–learning based optimization algorithm for a three-echelon supply chain scheduling problem in a two-stage assembly flow shop environment

by Rostami, Mohammad, Yousefzadeh, Ali
Published in Applied soft computing (01.10.2023)

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GPUSGD: A GPU-accelerated stochastic gradient descent algorithm for matrix factorization

by Jin, Jing, Lai, Siyan, Hu, Su, Lin, Jing, Lin, Xiaola
Published in Concurrency and computation (25.09.2016)

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A self-learning whale optimization algorithm based on reinforcement learning for a dual-resource flexible job shop scheduling problem

by Manafi, Ehsan, Domenech, Bruno, Tavakkoli-Moghaddam, Reza, Ranaboldo, Matteo
Published in Applied soft computing (01.08.2025)

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Distributed Task Replication for Vehicular Edge Computing: Performance Analysis and Learning-Based Algorithm

by Sun, Yuxuan, Zhou, Sheng, Niu, Zhisheng
Published in IEEE transactions on wireless communications (01.02.2021)

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Monitor system and Gaussian perturbation teaching–learning-based optimization algorithm for continuous optimization problems

by Shih, Po-Chou, Zhang, Yang, Zhou, Xizhao
Published in Journal of ambient intelligence and humanized computing (01.02.2022)

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Enhanced grasshopper optimization algorithm using elite opposition-based learning for solving real-world engineering problems

by Yildiz, Betül Sultan, Pholdee, Nantiwat, Bureerat, Sujin, Yildiz, Ali Riza, Sait, Sadiq M.
Published in Engineering with computers (01.10.2022)

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A random coordinate descent algorithm for optimization problems with composite objective function and linear coupled constraints

by Necoara, Ion, Patrascu, Andrei
Published in Computational optimization and applications (01.03.2014)

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Combining expert weights for online portfolio selection based on the gradient descent algorithm

by Zhang, Yong, Lin, Hong, Yang, Xingyu, Long, Wanrong
Published in Knowledge-based systems (25.12.2021)

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An improved teaching-learning-based optimization algorithm for numerical and engineering optimization problems

by Yu, Kunjie, Wang, Xin, Wang, Zhenlei
Published in Journal of intelligent manufacturing (01.08.2016)

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