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36 results on '"Menhas, Muhammad Ilyas"'

11. Application of Intelligent Virtual Reference Feedback Tuning to Temperature Control in a Heat Exchanger

Author

Wen, Yalan, Wang, Ling, Peng, Weiqing, Menhas, Muhammad Ilyas, Qian, Lin, Barbosa, Simone Diniz Junqueira, Series Editor, Filipe, Joaquim, Series Editor, Kotenko, Igor, Series Editor, Sivalingam, Krishna M., Series Editor, Washio, Takashi, Series Editor, Yuan, Junsong, Series Editor, Zhou, Lizhu, Series Editor, Li, Kang, editor, Fei, Minrui, editor, Du, Dajun, editor, Yang, Zhile, editor, and Yang, Dongsheng, editor

Published
2018
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12. Water Level Control of Nuclear Power Plant Steam Generator Based on Intelligent Virtual Reference Feedback Tuning

Author

Han, Zhi, Qi, Hu, Wang, Ling, Menhas, Muhammad Ilyas, Fei, Minrui, Barbosa, Simone Diniz Junqueira, Series Editor, Filipe, Joaquim, Series Editor, Kotenko, Igor, Series Editor, Sivalingam, Krishna M., Series Editor, Washio, Takashi, Series Editor, Yuan, Junsong, Series Editor, Zhou, Lizhu, Series Editor, Li, Kang, editor, Zhang, Jianhua, editor, Chen, Minyou, editor, Yang, Zhile, editor, and Niu, Qun, editor

Published
2018
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13. Application of Human Learning Optimization Algorithm for Production Scheduling Optimization

Author

Li, Xiaoyu, Yao, Jun, Wang, Ling, Menhas, Muhammad Ilyas, Diniz Junqueira Barbosa, Simone, Series editor, Chen, Phoebe, Series editor, Du, Xiaoyong, Series editor, Filipe, Joaquim, Series editor, Kotenko, Igor, Series editor, Liu, Ting, Series editor, Sivalingam, Krishna M., Series editor, Washio, Takashi, Series editor, Fei, Minrui, editor, Ma, Shiwei, editor, Li, Xin, editor, Sun, Xin, editor, Jia, Li, editor, and Su, Zhou, editor

Published
2017
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14. Photovoltaic Panel Fault Detection and Diagnosis Based on a Targeted Transformer-Style Model

Author

Li, Shengxi, Chen, Hui, Zhang, Ao, Gong, Chunyang, Menhas, Muhammad Ilyas, Liang, Weibin, Wang, Zhixin, and Yang, Ning

Abstract

The number of photovoltaic power plants is increasing rapidly and consequently their stability, efficiency and safety have become more important. In view, it is necessary to regularly detect, diagnose and maintain photovoltaic modules in a timely manner. In this work, a new image classification network based on the MPViT network structure is designed to solve the problem of fault detection and diagnosis of photovoltaic panels using image processing methods. Owing to the similarity between different types of photovoltaic panels an Enhanced Local Self-Attention block (ELSA block) is introduced to improve the learning ability of the model's local features so as to improve the model's ability to differentiate categories. Binary classification and multi-classification experiments are carried out on two datasets namely the photovoltaic module dataset based on infrared imaging (dataset1), and the photovoltaic module dataset based on electroluminescence imaging (dataset2). The M-E model (MPViT model introduced with ELSA block) achieves 94.1$\%$ and 88.5$\%$, 90.7$\%$ and 86.4$\%$ accuracy for binary classification and multi-class classification on dataset1 and dataset2 better than MPViT respectively.

Published
2024
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16. A Novel Deterministic Quantum Swarm Evolutionary Algorithm

Author

Wang, Xikun, Qian, Lin, Wang, Ling, Menhas, Muhammad Ilyas, Ni, Haoqi, Du, Xin, Junqueira Barbosa, Simone Diniz, Series editor, Chen, Phoebe, Series editor, Cuzzocrea, Alfredo, Series editor, Du, Xiaoyong, Series editor, Filipe, Joaquim, Series editor, Kara, Orhun, Series editor, Kotenko, Igor, Series editor, Sivalingam, Krishna M., Series editor, Ślęzak, Dominik, Series editor, Washio, Takashi, Series editor, Yang, Xiaokang, Series editor, Fei, Minrui, editor, Peng, Chen, editor, Su, Zhou, editor, Song, Yang, editor, and Han, Qinglong, editor

Published
2014
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18. A Modified Multi-objective Binary Particle Swarm Optimization Algorithm

Author

Wang, Ling, Ye, Wei, Fu, Xiping, Menhas, Muhammad Ilyas, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Tan, Ying, editor, Shi, Yuhui, editor, Chai, Yi, editor, and Wang, Guoyin, editor

Published
2011
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21. A Modified Binary Differential Evolution Algorithm

Author

Wang, Ling, Fu, Xiping, Menhas, Muhammad Ilyas, Fei, Minrui, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Li, Kang, editor, Fei, Minrui, editor, Jia, Li, editor, and Irwin, George W., editor

Published
2010
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22. Optimal Solution of Environmental Economic Dispatch Problems Using QPGPSO-ω.

Author

Salaria, Umair Ahmad, Menhas, Muhammad Ilyas, Manzoor, Sohaib, Butt, Faisal Mehmood, Ellahi, Manzoor, Ali, Nouman, Zhassulan, Orazbekov, and Mohamed, Heba G.

Subjects
RENEWABLE energy sources, FOSSIL fuels, PRICES, POLLUTION, MATHEMATICAL optimization, PHOTOVOLTAIC power generation
Abstract

The renewable energy sources (RESs)-based economic dispatch problem (EDP) is of vital importance for modern power systems. Environmental pollution, climatic degradation, and rapidly growing prices of continuously depleting fossil fuels have encouraged researchers to consider mechanisms for RES implementation and optimal operations. This paper presents a quasi-oppositional population-based global particle swarm optimizer with inertial weights (QPGPSO-ω) to solve environment friendly EDPs. The optimization technique is applied to solve the EDP under different scenarios including cases where only renewable energy sources (RESs) are used and the cases where combined emission–economic dispatch (CEED) problem is taken into account. The scenario for RESs includes a combination of six wind, five solar PV, and four biofuel systems for power generation. EDPs are considered without any constraints, and the variability of resources is depicted over time, along with the regional load-sharing dispatch (RLSD). The case of CEED considers ten thermal units with the valve point loading (VPL) effect and transmission losses. The results obtained by the proposed QPGPSO-ω algorithm are better than the reported results employing other optimization methods. This is shown by the lower costs achieved up to USD 8026.1439 for the case of only RES-based EDPs, USD 1346.8 for the case of RES-based EDPs with RLSD, and USD 111,533.59 for the case of CEED. Thus, the proposed QPGPSO-ω algorithm was effective in solving the various adopted power dispatch problems in power system. [ABSTRACT FROM AUTHOR]

Published
2023
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