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检索条件"主题词=Moth-Flame optimization algorithm"
59 条 记 录,以下是31-40 订阅
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An Ameliorated moth-flame optimization algorithm
An Ameliorated Moth-flame Optimization Algorithm
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第37届中国控制会议
作者: Xiao-dong Zhao Yi-ming Fang Zhuang Ma Miao Xu Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University National Engineering Research Center for Equipment and Technology of Cold Strip Rolling Tangshan University
To improve the global search ability under the condition of ensuring convergence speed, it is still a major challenge for most meta-heuristic optimization algorithms. The moth-flame optimization(MFO) algorithm is an... 详细信息
来源: 评论
optimization Improvement and Clustering Application Based on moth-flame algorithm  18th
Optimization Improvement and Clustering Application Based on...
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18th International Conference on Intelligent Computing (ICIC)
作者: Ye, Lvyang Huang, Huajuan Wei, Xiuxi Guangxi Minzu Univ Coll Elect Informat Nanning 530006 Peoples R China Guangxi Minzu Univ Coll Artificial Intelligence Nanning 530006 Peoples R China
optimization problem is widely used in production management, military command and scientific experiments and other fields, moth-flame optimization algorithm as a new swarm intelligence optimization algorithm, has the... 详细信息
来源: 评论
Inference on diffusion processes related to a general growth model
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STATISTICS AND COMPUTING 2025年 第2期35卷 1-19页
作者: Albano, Giuseppina Barrera, Antonio Giorno, Virginia Torres-Ruiz, Francisco Univ Salerno Dept Polit & Social Studies Via Giovanni Paolo II I-84084 Fisciano SA Italy Univ Malaga Dept Math Anal Stat & Operat Res & Appl Math Bulevar Louis Pasteur 31 Malaga 29010 Spain Univ Salerno Dept Comp Sci Via Giovanni Paolo II I-84084 Fisciano SA Italy Univ Granada Dept Stat & Operat Res Avda Fuentenueva S-N Granada 18071 Spain Univ Granada Inst Math IMAG C Ventanilla 11 Granada 18001 Spain
This paper considers two stochastic diffusion processes associated with a general growth curve that includes a wide family of growth phenomena. The resulting processes are lognormal and Gaussian, and for them inferenc... 详细信息
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An efficient chaotic mutative moth-flame-inspired optimizer for global optimization tasks
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EXPERT SYSTEMS WITH APPLICATIONS 2019年 第0期129卷 135-155页
作者: Xu, Yueting Chen, Huiling Heidari, Ali Asghar Luo, Jie Zhang, Qian Zhao, Xuehua Li, Chengye Wenzhou Univ Dept Comp Sci Wenzhou 325035 Peoples R China Univ Tehran Sch Surveying & Geospatial Engn Tehran Iran Natl Univ Singapore Sch Comp Dept Comp Sci Singapore Singapore Shenzhen Inst Informat Technol Sch Digital Media Shenzhen 518172 Peoples R China Wenzhou Med Univ Dept Pulm & Crit Care Med Affiliated Hosp 1 Wenzhou 325000 Peoples R China
moth-flame optimization algorithm (MFO) is a new nature-inspired meta-heuristic based on the navigation routine of moths in the environment known as transverse orientation. For some complex optimization tasks, especia... 详细信息
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Dynamic performance enhancement for wind energy conversion system using moth-flame optimization based blade pitch controller
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SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS 2018年 第Jun.期27卷 206-212页
作者: Ebrahim, M. A. Becherif, M. Abdelaziz, Almoataz Y. Benha Univ Fac Engn Shoubra Dept Elect Engn 108 Shoubra StPOB 11241 Cairo Egypt Univ Technol Belfort FEMTO ST UMR CNRS 6174 FC Lab FR CNRS 3539 Dept Energy Montbeliard France Ain Shams Univ Fac Engn Dept Elect Engn Cairo Egypt
moth-flame optimization (MFO) technique has recently been explored to develop a novel algorithm for distributed optimization and control. In this paper, the MFO-based design of blade pitch controllers (BPCs) is propos... 详细信息
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Non-dominated sorting moth flame optimization (NS-MFO) for multi-objective problems
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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2017年 63卷 20-32页
作者: Savsani, Vimal Tawhid, Mohamed A. Pandit Deendayal Petr Univ Gandinagar Gujarat India Thompson Rivers Univ Fac Sci Dept Math & Stat Kamloops BC V2C 0C8 Canada Alexandria Univ Fac Sci Dept Math & Comp Sci Alexandria 21511 Egypt
This paper proposes an effective non-dominated moth-flame optimization algorithm (NS-MFO) method for solving multi-objective problems. Most of the multi-objective optimization algorithms use different search technique... 详细信息
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Optimal reactive power dispatch solution by loss minimization using moth-flame optimization technique
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APPLIED SOFT COMPUTING 2017年 59卷 210-222页
作者: Mei, Rebecca Ng Shin Sulaiman, Mohd Herwan Mustaffa, Zuriani Daniyal, Hamdan UMP Fac Elect & Elect Engn Pekan 26600 Pahang Malaysia UMP Fac Comp Syst & Software Engn Gambang 26300 Pahang Malaysia
In this paper, a newly surfaced nature-inspired optimization technique called moth-flame optimization (MFO) algorithm is utilized to address the optimal reactive power dispatch (ORPD) problem. MFO algorithm is inspire... 详细信息
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Hysteresis model identification for piezoelectric positioning stage using improved moth-flame optimization
Hysteresis model identification for piezoelectric positionin...
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Chinese Automation Congress (CAC)
作者: Zeng, Junhai Li, Zhifu Du, Jiarong Guangzhou Univ Sch Mech & Elect Engn Guangzhou Peoples R China
The hysteresis existing in the piezoelectric positioning stage seriously affects the performance of the positioning stage, and even causes the instability of the system. However, due to the complexity of hysteresis, h... 详细信息
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Tuning of Power System Stabilizers in Multi-machine Power Systems Using moth flame optimization  6
Tuning of Power System Stabilizers in Multi-machine Power Sy...
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6th International Electrical Engineering Congress (iEECON)
作者: Dey, Prasenjit Bhattacharya, Aniruddha Das, Priyanath Natl Inst Technol Agartala Dept Elect Engn Jirania India
Power system stabilizers (PSS) are utilized to mitigate power system oscillations by excitation control. This paper proposes a PSS design based on a new population-based algorithm named moth-flame optimization (MFO) a... 详细信息
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Proposing and Evaluation of SC Techniques for Variable Speed High-Power Operation of SEIG
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IEEE ACCESS 2020年 8卷 20666-20675页
作者: Ahmed, Marwa M. Hassanein, Wael S. Enany, Mohamed A. King Abdulaziz Univ Fac Engn Elect Engn Dept Jeddah 80204 Saudi Arabia King Abdulaziz Univ Fac Engn Ind Engn Dept Jeddah 80204 Saudi Arabia Zagazig Univ Fac Engn Elect Power & Machines Dept Zagazig 44519 Egypt
This work presents a novel methodology for variable speed high power Transfer Capability of a self-excited induction generator (SEIG). The proposed methodology is based on the selection of a suitable firing angle of F... 详细信息
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