受强制性开放获取政策约束的文章 - Ling Wang了解详情
无法在其他位置公开访问的文章：22 篇
A human learning optimization algorithm and its application to multi-dimensional knapsack problems
L Wang, R Yang, H Ni, W Ye, M Fei, PM Pardalos
Applied Soft Computing 34, 736-743, 2015
强制性开放获取政策： 国家自然科学基金委员会
An adaptive simplified human learning optimization algorithm
L Wang, H Ni, R Yang, PM Pardalos, X Du, M Fei
Information Sciences 320, 126-139, 2015
强制性开放获取政策： 国家自然科学基金委员会
Feature selection based on meta-heuristics for biomedicine
L Wang, H Ni, R Yang, V Pappu, MB Fenn, PM Pardalos
Optimization Methods and Software 29 (4), 703-719, 2014
强制性开放获取政策： 国家自然科学基金委员会
A hybrid-coded human learning optimization for mixed-variable optimization problems
L Wang, J Pei, MI Menhas, J Pi, M Fei, PM Pardalos
Knowledge-Based Systems 127, 114-125, 2017
强制性开放获取政策： 国家自然科学基金委员会
Solving a supply chain scheduling problem with non-identical job sizes and release times by applying a novel effective heuristic algorithm
J Pei, X Liu, PM Pardalos, W Fan, L Wang, S Yang
International Journal of Systems Science 47 (4), 765-776, 2016
强制性开放获取政策： 国家自然科学基金委员会
Application of intelligent virtual reference feedback tuning to temperature control in a heat exchanger
Y Wen, L Wang, W Peng, MI Menhas, L Qian
Intelligent Computing and Internet of Things: First International Conference …, 2018
强制性开放获取政策： 国家自然科学基金委员会
Water level control of nuclear power plant steam generator based on intelligent virtual reference feedback tuning
Z Han, H Qi, L Wang, MI Menhas, M Fei
Advances in Green Energy Systems and Smart Grid: First International …, 2018
强制性开放获取政策： 国家自然科学基金委员会
A two-stage cooperative scatter search algorithm with multi-population hierarchical learning mechanism
F Zhao, G Zhou, L Wang, T Xu, N Zhu
Expert Systems with Applications 203, 117444, 2022
强制性开放获取政策： 国家自然科学基金委员会
A novel human learning optimization algorithm with Bayesian inference learning
P Zhang, L Wang, Z Fei, L Wei, M Fei, MI Menhas
Knowledge-Based Systems 271, 110564, 2023
强制性开放获取政策： 国家自然科学基金委员会
A human learning optimization algorithm with reasoning learning
P Zhang, J Du, L Wang, M Fei, T Yang, PM Pardalos
Applied Soft Computing 122, 108816, 2022
强制性开放获取政策： 国家自然科学基金委员会
Furnace temperature prediction using optimized kernel extreme learning machine
P Zhang, Y Jiang, M Wang, M Fei, L Wang, A Rakić
2021 40th Chinese Control Conference (CCC), 2711-2715, 2021
强制性开放获取政策： 国家自然科学基金委员会
An improved path-tracking controller with mid-angle adaptive calibration for combine harvester
N Qiao, L Wang, W Zhu, X Tang, C Jin, L Yaoming, L Xu
Journal of Instrumentation 15 (01), P01025, 2020
强制性开放获取政策： 国家自然科学基金委员会
An adaptive human learning optimization with enhanced exploration–exploitation balance
J Du, Y Wen, L Wang, P Zhang, M Fei, PM Pardalos
Annals of Mathematics and Artificial Intelligence 91 (2), 177-216, 2023
强制性开放获取政策： 国家自然科学基金委员会
Controller for the pulverizing system based on intelligent virtual reference feedback tuning
L Wang, D Li, X Hu, P Zhang, MI Menhas
Recent Advances in Electrical & Electronic Engineering (Formerly Recent …, 2021
强制性开放获取政策： 国家自然科学基金委员会
Water level control of steam generator in nuclear power plant based on intelligent MFAC-PID
Y Du, H Li, M Fei, L Wang, P Zhang, W Zhao
2021 40th Chinese Control Conference (CCC), 2549-2554, 2021
强制性开放获取政策： 国家自然科学基金委员会
Feature selection based on a modified adaptive human learning optimization algorithm
S Yu, Y Jia, X Hu, H Ni, L Wang
Intelligent Equipment, Robots, and Vehicles: 7th International Conference on …, 2021
强制性开放获取政策： 国家自然科学基金委员会
Human Learning Optimization with Self-tuning Random Learning Strategy
X Hu, C Wang, B Huang, L Wang
2021 40th Chinese Control Conference (CCC), 1966-1971, 2021
强制性开放获取政策： 国家自然科学基金委员会
A Human Learning Optimization Algorithm with Link Prediction Strategy
J Du, L Wang, M Fei
2021 40th Chinese Control Conference (CCC), 1614-1619, 2021
强制性开放获取政策： 国家自然科学基金委员会
A Multi-Populations Human Learning Optimization Algorithm
J Du, L Wang, M Fei
Intelligent Equipment, Robots, and Vehicles: 7th International Conference on …, 2021
强制性开放获取政策： 国家自然科学基金委员会
Generalized predictive control of ultra-supercritical power plant by using a composite weighted human learning optimization network
C Cheng, C Peng, L Wang, D Zeng
Proceedings of the Institution of Mechanical Engineers, Part I: Journal of …, 2023
强制性开放获取政策： 国家自然科学基金委员会
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