Multiobjective Strategy for Optimized Load Breaker Switch Placement to Improve Distribution Network Performance and Reliability by Mohammad Ebrahim Hajiabadi, Hossein Parsadust, Hossein Lotfi, Sajjad Borhani Yazdi, Hossein Ramezani

“…To solve this problem, an iterative graph-based search algorithm is employed, which dynamically identifies the optimal locations for switch installation. By leveraging graph theory, the proposed method significantly reduces computational complexity and enhances responsiveness to changing network conditions. …”
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A Discrete-time Neural Network for Solving Convex Optimization Problem in Support Vector Machine by LIU Feng-qiu, ZHANG Hong-xu

“…Compared with some continuous neural networks， the architecture of proposed neural network is simple， which decreases the computational complexity. Finally，some classification problems and benchmarking data sets are used in the experiment. …”
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Application of bioinspired global optimization algorithms to the improvement of the prediction accuracy of compact extreme learning machines by L. A. Demidova, A. V. Gorchakov

“…Methods of optimization theory, theory of evolutionary computation and swarm intelligence, probability theory, mathematical statistics and systems analysis were used.Results. …”
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Systematic Review of Hierarchical and Multi-Agent Optimization Strategies for P2P Energy Management and Electric Machines in Microgrids by Paul Arévalo, Danny Ochoa-Correa, Edisson Villa-Ávila, Vinicio Iñiguez-Morán, Patricio Astudillo-Salinas

“…Despite progress, several studies reveal challenges related to scalability, data privacy, computational complexity, and system adaptability, particularly in dynamic and decentralized environments. …”
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Knowledge-Based Deep Learning for Time-Efficient Inverse Dynamics by Shuhao Ma, Yu Cao, Ian D. Robertson, Chaoyang Shi, Jindong Liu, Zhi-Qiang Zhang

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Construction and analysis of numerical algorithms for Erdelyi–Kober fractional integral equations by Chinedu Nwaigwe, Abdon Atangana

“…The few existing methods are mostly based on change of variables which increases computational complexity. In this paper, we propose two methods, by using linear interpolations to reduce the problem to computing beta functions which are readily available in almost all scientific computing platforms. …”
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Secure Lattice-Based Signature Scheme for Internet of Things Applications by Sunil Prajapat, Deepika Gautam, Pankaj Kumar, Srinivas Jangirala, Ashok Kumar Das, Biplab Sikdar

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Methodology for determining temperature dependences of the diffraction efficiency of two-layer two-relief microstructures in the framework of a rigorous coupled-wave analysis by A.I. Antonov, G.I. Greisukh

“…We present a mathematical apparatus of the proposed technique that minimizes the computational complexity and demonstrates its effectiveness by the example of calculating the diffraction efficiency of the diffractive element of an ultra-high-aperture refractive-diffraction athermal dual-band infrared lens. …”
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Enhanced genetic algorithm for indoor low-illumination stereo matching energy function optimization by Zhang Hongjin, Wei Hui

“…Additionally, the algorithm achieves a lower computational complexity of O(H), offering significant improvements in resource efficiency compared to standard algorithms. …”
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Reshaping the anomalous Hall response in tilted 3D system with disorder correction by Vivek Pandey, Pankaj Bhalla

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Two-Dimensional Direction of Arrival (DOA) Estimation for Rectangular Array via Compressive Sensing Trilinear Model by Huaxin Yu, Xiaofeng Qiu, Xiaofei Zhang, Chenghua Wang, Gang Yang

“…The proposed algorithm can be regarded as a combination of trilinear model and compressive sensing theory, and it brings much lower computational complexity and much smaller demand for storage capacity. …”
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Noise2Variance: Dual networks with variance constraint for self‐supervised real‐world image denoising by Hanlin Tan, Yu Liu, Maojun Zhang

“…A comparison of model complexity reveals that the method is efficient among the compared CNN‐based techniques.…”
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Approach to optimizing charging infrastructure of autonomous trolleybuses for urban routes by М. Ya. Kovalyov, B. M. Rozin, I. A. Shaternik

“…To solve the formulated problem of mathematical programming, standard solvers such as IBM ILOG CPLEX can be used, as well as, taking into account its computational complexity, the heuristic method of "swarm of particles".  …”
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TIE‐GCM ROPE ‐ Dimensionality Reduction: Part I by Piyush M. Mehta, Richard J. Licata

“…Abstract Physics‐based models of the ionosphere‐thermosphere system have been touted as the next big thing in the context of drag modeling and space operations for decades. However, the computational complexity of such models have primarily kept them being used operationally. …”
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Incentive Mechanism for Data Sharing in Smart Manufacturing Under the Industrial Internet by Jialiang Zhang, Xinxin Guo, Yongtao Peng

“…The mechanism addresses several key challenges in data sharing, including data silos among manufacturing devices, insufficient incentive structures, dynamic supply-demand imbalances under production task and equipment state constraints, and the high computational complexity of achieving global equilibrium in large-scale distributed systems. …”
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An effective solution for analyzing the electromagnetic scattering characteristics of composite conducting dielectric objects under multiple angle incidence by Meng Kong, Xin Yuan Cao, Qi Qi, Xian Liang Wu

“…Abstract The accurate modeling of electromagnetic scattering from composite conducting-dielectric objects under multi-angle incidence is crucial in the field of electromagnetic engineering, however, due to the huge computational resources required, there is a disadvantage of slow analysis speed on personal computer platforms. …”
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Analysis of Cogging Torque Ripple Based on Multiple Square-Wave Radial Superposition MMF for Wound-Field Synchronous Motors by Tingting Hou, Jiakuan Xia, Jin Chen, Meijun Qi

“…To avoid the separation of a strong coupling relationship between rotor slots and magnetomotive force (MMF) and the computational complexity of the bilateral slotting, the effect of the whole rotor is equivalent to the superposition of multiple square-wave MMF with different pole arc coefficients along the radial direction of the air gap. …”
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Intelligent anti-jamming communication technology with electromagnetic spectrum feature cognition. by Hui Zhao, Guobin Zhao, Xichun Wang, Zhonghui Zhang, Xianchao Xun

“…Existing solutions, such as traditional interference suppression techniques that rely on static spectrum allocation and fixed interference patterns, are no longer able to adapt to the rapidly changing electromagnetic environment and face computational complexity challenges when processing large amounts of real-time data. …”
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An FPGA-accelerated multi-level AI-integrated simulation framework for multi-time domain power systems with high penetration of power converters by Chen Liu, Peng Su, Hao Bai, Xizheng Guo, Alber Filbà Martínez, Jose Luis Dominguez Garcia

“…By integrating AI techniques, such as back propagation neural networks, the framework predicts variables with high computational complexity, improving accuracy and simulation efficiency. …”
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Molecular Merged Hypergraph Neural Network for Explainable Solvation Gibbs Free Energy Prediction by Wenjie Du, Shuai Zhang, Zhaohui Cai, Xuqiang Li, Zhiyuan Liu, Junfeng Fang, Jianmin Wang, Xiang Wang, Yang Wang

“…However, its sharply increasing computational complexity limits its scalability and broader applicability. …”
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