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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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Fast Deep Belief Propagation: An Efficient Learning-Based Algorithm for Solving Constraint Optimization Problems

by Kong, Shufeng, Chen, Feifan, Wang, Zijie, Liu, Caihua
Published in Mathematics (Basel) (21.10.2025)

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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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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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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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A hybrid salp swarm algorithm based on TLBO for reliability redundancy allocation problems

by Kundu, Tanmay, Deepmala, Jain, Pramod K.
Published in Applied intelligence (Dordrecht, Netherlands) (01.09.2022)

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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 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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ND-Tree-Based Update: A Fast Algorithm for the Dynamic Nondominance Problem

by Jaszkiewicz, Andrzej, Lust, Thibaut
Published in IEEE transactions on evolutionary computation (01.10.2018)

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Dung beetle optimization algorithm based on quantum computing and multi-strategy fusion for solving engineering problems

by Zhu, Fang, Li, Guoshuai, Tang, Hao, Li, Yingbo, Lv, Xvmeng, Wang, Xi
Published in Expert systems with applications (01.02.2024)

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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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Improved slime mould algorithm by opposition-based learning and Levy flight distribution for global optimization and advances in real-world engineering problems

by Abualigah, Laith, Diabat, Ali, Elaziz, Mohamed Abd
Published in Journal of ambient intelligence and humanized computing (01.02.2023)

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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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Adaptive Learning-Based Task Offloading for Vehicular Edge Computing Systems

by Sun, Yuxuan, Guo, Xueying, Song, Jinhui, Zhou, Sheng, Jiang, Zhiyuan, Liu, Xin, Niu, Zhisheng
Published in IEEE transactions on vehicular technology (01.04.2019)

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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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A chaotic teaching learning based optimization algorithm for clustering problems

by Kumar, Yugal, Singh, Pradeep Kumar
Published in Applied intelligence (Dordrecht, Netherlands) (01.03.2019)

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