11 papers · ranked by Valyu relevance
Premkumar Manoharan, Sowmya Ravichandran, Jagarapu S. V. Siva Kumar, Mustafa Abdullah + 3 more
'Mustafa Abdullah' 'Tan Ching Sin' 'Tengku Juhana Tengku Hashim' 'Yongquan Zhou'] This paper addresses the critical challenge of optimizing the energy efficiency of induction motors, which are pivotal components across diverse industrial sectors due to their substantial energy consumption. Given the non-measurable…
Hongtao Yang, Ziqiang Bi, Xiulan Li, Qingan Yao + 3 more
Accurate weld-region identification is essential for weld quality inspection and automated grinding. However, weld point clouds are highly irregular and lack explicit topological structure, which makes accurate recognition challenging. To address this issue, this study formulates weld point-cloud recognition as a…
Mingbin Tang, Yejun Zheng, Lianbao Li, Li Cao + 2 more
Complex engineering optimization problems often exhibit high-dimensional, multi-constraint, and nonlinear characteristics. Traditional deterministic optimization methods rely on gradient information and have limited optimization ranges, making it difficult to meet the requirements of efficient and accurate solutions.…
Yuyong Tan, Jianfeng Wang, Bin Wang, Yongquan Zhou
The intelligent optimization algorithm has become a key tool in complex and intertwined engineering and science fields. However, with the increasing complexity of the problem and the rapid expansion of the data scale, the performance of the algorithm has been challenged unprecedentedly. The artificial lemming algorithm…
Hongna Zhang
Aiming at the problems of low learning efficiency, slow convergence speed, and low prediction accuracy of traditional data-driven model applied to tool cutting force prediction, a prediction method of tool cutting force based on ant lion optimizer (ALO) extreme learning machine (ELM) is proposed. ALO was used to…
Guoping You, Zengtong Lu, Zhipeng Qiu, Hao Cheng + 2 more
'Gang Hu'] Beluga whale optimization (BWO) is a swarm-based metaheuristic algorithm inspired by the group behavior of beluga whales. BWO suffers from drawbacks such as an insufficient exploration capability and the tendency to fall into local optima. To address these shortcomings, this paper proposes augmented…
Yu Liu, Maosheng Fu, Chaochuan Jia, Zhengyu Liu + 5 more
Unmanned aerial vehicle path planning faces multiple challenges in terms of effectiveness and safety. Traditional optimization methods are difficult to use to effectively find the best route. An enhanced artificial lemming optimization algorithm (ALAEN) is proposed here, which introduces stochastic differential…
Muhammad Arslan, Syed Masroor Anwar, Showkat Ahmad Lone, Zahid Rasheed + 3 more
'Zahid Rasheed' 'Majid Khan' 'Saddam Akbar Abbasi' 'Inés P. Mariño'] The adaptive exponentially weighted moving average (AEWMA) control charts are the advanced form of classical memory control charts used for efficiently monitoring small-to-large shifts in the process parameters (location and/or dispersion). These…
Muhammad Atif Sarwar, Muhammad Noor-ul-Amin, Imad Khan, Emad A. A. Ismail + 2 more
'Emad A. A. Ismail' 'Wojciech Sumelka' 'Muhammad Nabi'] In recent times, there has been a growing focus among researchers on memory-based control charts. The Exponentially Weighted Moving Average (EWMA) and Cumulative Sum (CUSUM) charts and the adaptive control charting approaches got the attention. Control charts are…
Genliang Li, Yaxin Cui, Jingyu Su, Ghanshyam G. Tejani
Feature Selection (FS) is a crucial component of machine learning and data mining. Its goal is to eliminate redundant and irrelevant features from a datasets, thereby enhancing the classifier's performance. The Grey Wolf Optimizer (GWO) is a well-known meta-heuristic algorithm rooted in swarm intelligence. It is widely…
Oluwatayomi Rereloluwa Adegboye, Afi Kekeli Feda, Opeoluwa Seun Ojekemi, Ephraim Bonah Agyekum + 2 more
'Opeoluwa Seun Ojekemi' 'Ephraim Bonah Agyekum' 'Abdelazim G. Hussien' 'Salah Kamel'] The effective meta-heuristic technique known as the grey wolf optimizer (GWO) has shown its proficiency. However, due to its reliance on the alpha wolf for guiding the position updates of search agents, the risk of being trapped in a…