Certificateless Batch Authentication Scheme and Intrusion Detection Model Based on the Mobile Edge Computing Technology NDN-IoT Environment by Jianzhao Sun

“…Compared with the linear search algorithm, the algorithm proposed in this paper can significantly reduce the computation time.…”
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Fast and Accurate Direct Position Estimation Using Low-Complexity Correlation and Swarm Intelligence Optimization by Yuze Duan, Zuping Tang, Jiaolong Wei, Jie Sun, Kaixian Ying

“…Both extensive simulations and real GNSS data experiments further validate that the proposed framework, incorporating the ADBO algorithm, achieves improved positioning accuracy compared to traditional positioning methods while outperforming traditional search algorithms and other swarm intelligence algorithms in both accuracy and computational efficiency.…”
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Stackelberg Game Based Power Control with Outage Probability Constraints for Cognitive Radio Networks by Helin Yang, Xianzhong Xie, Athanasios V. Vasilakos

“…Simulation results show that the proposed algorithm improves the performance compared with those proportionate game schemes.…”
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Processing of Polymers Stress Relaxation Curves Using Machine Learning Methods by Anton S. Chepurnenko, Tatiana N. Kondratieva, Ebrahim Al-Wali

“…A comparative analysis of algorithms for solving the regression problem in CatBoost Regressor has been carried out. …”
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Optimization of multioutlet hydrant location and pressurized irrigation network layout using the GRASP metaheuristic by César González-Pavón, Carmen Virginia Palau, Juan Manzano-Juárez, Santiago Guillem-Picó, Ibán Balbastre-Peralta

“…To address this, the study proposes an optimization approach utilizing geographic information systems (GIS) and the greedy randomized adaptive search procedures (GRASP) algorithm. By determining the optimal location and number of multioutlet hydrants required, the methodology aims to enhance network efficiency, on the one hand, in hydraulic terms when considering the sizing of the multioutlet hydrant and in economic terms in reference to the cost of installation and subsequent maintenance. …”
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AI-driven modeling for predicting compressive strength of recycled aggregate concrete under thermal conditions for sustainable construction by Morteza Ghodratnama, Amir R. Masoodi, Amir H. Gandomi

“…The ANN models underwent optimization via Random Search Hyper-Parameter Tuning, resulting in high prediction accuracy, with correlation coefficients (R2) surpassing 0.9. …”
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Adaptive Multi-Robot Exploration for Unknown Environments Using Edge-Weighted Path Planning by Farhad Baghyari, Tyler Parsons, Jaho Seo, Byeongjin Kim, Mingeuk Kim, Hanmin Lee

“…Experimental results demonstrate that the algorithm achieves improved exploration efficiency and adaptability compared to a real-time scheduling method while maintaining computational feasibility. …”
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3D Voxel-based Collaborative Path Planning for UAVs in Urban Emergency Response by Z. Wu, Z. Wang, W. Xie, Z. Lin, Y. Wu, Y. Mo

“…For local coverage, an improved Boustrophedon Cell Decomposition (BCD) algorithm is introduced, tailored for UAV operations, while global coverage is addressed through a multi-traveling salesman problem (MTSP) approach, optimized using the Jump Point Search (JPS) algorithm and Genetic Algorithm (GA). …”
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Similar Instances Reuse Based Numerical Control Process Decision Method for Prismatic Parts by Changhong XU, Shusheng ZHANG, Jiachen LIANG, Rui HUANG, Rong BIAN

“…The ant colony and simulated annealing algorithms are combined to solve the problem due to their strong ability for graph searching and global convergence, respectively. …”
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An Improved Equilibrium Optimizer for Optimal Placement of Distributed Generators in Distribution Systems considering Harmonic Distortion Limits by Thai Dinh Pham, Thang Trung Nguyen, Le Chi Kien

“…The performance of the proposed algorithm is compared to three other implemented methods consisting of artificial bee colony (ABC) algorithm, salp swarm algorithm (SSA), and EO and eight previously published methods for the three test systems. …”
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A proximal policy optimization based deep reinforcement learning framework for tracking control of a flexible robotic manipulator by Joshi Kumar V, Vinodh Kumar Elumalai

“…This paper puts forward a policy feedback based deep reinforcement learning (DRL) control scheme for a partially observable system by leveraging the potentials of proximal policy optimization (PPO) algorithm and convolutional neural network (CNN). Although several DRL algorithms have been investigated for a fully observable system, there has been limited studies on devising a DRL control for a partially observable system with uncertain dynamics. …”
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Optimization of two-stage methanogenesis regime based on the Pontryagin’s maximum principle *** by S. A. Korolev, D. V. Maykov

“…When optimizing, a hybrid genetic algorithm was used with an additional search in the neighborhood of the best solution through the conjugate gradient method.Research Results. …”
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Educational Information System Optimization for Artificial Intelligence Teaching Strategies by Taotang Liu, Zhongxin Gao, Honghai Guan

“…Compared with other algorithms, the solution accuracy is higher and the stability is better. …”
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Swarm Robot Exploration Strategy for Path Formation Tasks Inspired by Physarum polycephalum by Yandong Luo, Jianwen Guo, Zhenpeng Lao, Shaohui Zhang, Xiaohui Yan

“…For the research of swarm robotics, our algorithm not only can lead multirobot as a whole to overcome the limitations of very simple individual agents but also can offer better performance in terms of search efficiency and success rate. …”
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Self-Organized Cognitive Sensor Networks: Distributed Channel Assignment for Pervasive Sensing by Li-Chuan Tseng, Feng-Tsun Chien, Abdelwaheb Marzouki, Ronald Y. Chang, Wei-Ho Chung, ChingYao Huang

“…Simulation results demonstrate that the learning algorithm yields a 26% sensor node capacity improvement as compared to the random selection, and incurs less than 10% capacity loss compared to the exhaustive search.…”
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Effect of Voltage Dependent Load Model on Placement and Sizing of Distributed Generator in Large Scale Distribution System by Gopisetti Manikanta, Ashish Mani, Hemender Pal Singh, Devendra Kumar Chaturvedi

“…Experimental results indicate that AQiEA has a better performance compared to other algorithms which are available in the literature.…”
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COD Optimization Prediction Model Based on CAWOA-ELM in Water Ecological Environment by Lili Jiang, Liu Yang, Yang Huang, Yi Wu, Huixian Li, XiYan Shen, Meng Bi, Lin Hong, Yiting Yang, Zuping Ding, Wenjie Chen

“…In the CAWOA, the global optimization results of the WOA are promoted by introducing a sin chaotic search strategy and adaptive inertia weights. On this basis, the COD prediction model of CAWOA-ELM is established and compared with similar algorithms by using the optimized ELM to predict the water ecological COD in a region. …”
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Tree-Based Backtracking Orthogonal Matching Pursuit for Sparse Signal Reconstruction by Yigang Cen, Fangfei Wang, Ruizhen Zhao, Lihong Cui, Lihui Cen, Zhenjiang Miao, Yanming Cen

“…Compared with other compressed sensing algorithms, simulation results show the proposed algorithm’s superior performance to that of several other OMP-type algorithms.…”
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Design and evaluation of self-tuning optimal control for vibration suppression of magnetorheological semi-active suspension by Gang Li, Yu Gan, Qianjie Liu, Miaojin Xie, Qingsheng Huang, Liping Zeng

“…In order to tackle the problems associated with low control accuracy and poor dynamic adjustment in traditional LQG controllers where the weighting matrix coefficients are difficult to determine, a self-tuning LQG controller based on gravity search algorithm (GSA-LQG) was designed. Finally, the designed controller performance was evaluated by the simulation and experimental results obtained from the random and sinusoidal excitation roads. …”
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Promoting Health Literacy With Human-in-the-Loop Video Understandability Classification of YouTube Videos: Development and Evaluation Study by Xiao Liu, Anjana Susarla, Rema Padman

“…In addition, in a user study, 4 medical experts recommended 72% (144/200) of the top 10 videos ranked by understandability compared to 40% (80/200) of the top 10 videos ranked by YouTube’s default algorithm for 20 ramdomly selected search keywords. …”
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