Improved sine cosine algorithm for large-scale optimization problems by ZHANG Chao, YANG Yi

“…A novel nonlinear parameter adjustment method based on spatial distance is adopted to balance the local exploitation and global exploration, which improves the convergence speed of the algorithm. On 14 classic test functions with dimensions of 100, 1 000 and 5 000 respectively, SCAL is compared with five swarm intelligence algorithms including SCA, flower pollination algorithm (FPA), particle swarm optimization (PSO) algorithm, sparrow search algorithm (SSA) and whale optimization algorithm (WOA). …”
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Application of Artificial Intelligence Computer Intelligent Heuristic Search Algorithm by Fanghai Gong

“…After 231 iterations of particle swarm optimization algorithm, the optimal value is 6.83650785e-001. …”
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Supporting the editing of dot maps using the spectral clustering algorithm by Dziuba Natalia, Szombara Stanisław

“…In the study, equal-size spectral clustering algorithm was used, which was modified with a function equalizing the number of points in clusters. …”
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Research on Fire Detection of Cotton Picker Based on Improved Algorithm by Zhai Shi, Fangwei Wu, Changjie Han, Dongdong Song

“…Therefore, in this study, we designed an improved algorithm for multi-sensor data fusion; built a cotton picker fire detection system by using infrared temperature sensors, CO sensors, and the upper computer; and proposed a BP neural network model based on improved mutation operator hybrid gray wolf optimizer and particle swarm optimization (MGWO-PSO) algorithm based on the BP neural network model. …”
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Modified Whale Optimization Algorithm for Multiclass Skin Cancer Classification by Abdul Majid, Masad A. Alrasheedi, Abdulmajeed Atiah Alharbi, Jeza Allohibi, Seung-Won Lee

“…Our method outperforms the genetic algorithm (GA), Particle Swarm Optimization (PSO), and the slime mould algorithm (SMA), as well as deep learning-based skin cancer classification models, which have reported accuracies of 87% to 94% in previous studies. …”
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MGL-YOLO: A Lightweight Barcode Target Detection Algorithm by Yuanhao Qu, Fengshou Zhang

“…Experimental results show that the proposed algorithm increases MAP50 and MAP50.95 by 2.57% and 2.31%, respectively, compared to YOLOv8, while reducing parameter size and computational cost by 36.21% and 34.15%, respectively. …”
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An efficient algorithmic framework to minimize the summand matrix in binary multiplication by Amit Verma, Manish Prateek, Shiv Naresh Shivhare, Thipendra P. Singh, Anuj Kumar, Rakesh Ranjan, Rahul Priyadarshi

“…Binary multiplication is a key operation in digital systems, often limited by the complexity of generating and summing numerous partial products. Traditional methods, like Booth’s algorithm, produce a summand matrix proportional to the operand bit-length, increasing computational load, hardware usage and latency. …”
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Evolutionary Algorithms for Edge Server Placement in Vehicular Edge Computing by A. Surayya, Md Muzakkir Hussain, V. Dinesh Reddy, Ashu Abdul, Firoj Gazi

“…To achieve optimal server placement, we evaluate the effectiveness of several advanced evolutionary algorithms. These include the Genetic Algorithm (GA), Non-dominated Sorting Genetic Algorithm II (NSGA-II), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), and Teaching-Learning-Based Optimization (TLBO). …”
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Comprehensive Adaptive Enterprise Optimization Algorithm and Its Engineering Applications by Shuxin Wang, Yejun Zheng, Li Cao, Mengji Xiong

“…The performance of the CAED is contrasted with that of nine other algorithms, such as the Particle Swarm Optimization (PSO), Gray Wolf Optimization (GWO), and the Antlion Optimizer (AOA). …”
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Binary Secretary Bird Optimization Algorithm for the Set Covering Problem by Broderick Crawford, Felipe Cisternas-Caneo, Ricardo Soto, Claudio Patricio Toledo Mac-lean, José Lara Arce, Fabián Solís-Piñones, Gino Astorga, Giovanni Giachetti

“…Experimental results applied to the SCP together with its variant Unicost SCP and compared to Grey Wolf Optimizer and Particle Swarm Optimization suggest that the binary version of SBOA is a robust algorithm capable of producing high quality solutions with low computational cost. …”
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Underwater Object Detection Algorithm Based on an Improved YOLOv8 by Fubin Zhang, Weiye Cao, Jian Gao, Shubing Liu, Chenyang Li, Kun Song, Hongwei Wang

“…Due to the complexity and diversity of underwater environments, traditional object detection algorithms face challenges in maintaining robustness and detection accuracy when applied underwater. …”
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Non-Profiled Partial Nibble Recovery on Power Attack Resilient Adiabatic PRESENT Block Cipher Through AI Vulnerability Assessment by Anjana Jyothi Banu, A. A.

“…Artificial Intelligence (AI) techniques, by eliminating the need for prior knowledge of cryptographic algorithms, have emerged as powerful tools for executing effective SCAs on secure implementations. …”
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YOLO-MECD: Citrus Detection Algorithm Based on YOLOv11 by Yue Liao, Lerong Li, Huiqiang Xiao, Feijian Xu, Bochen Shan, Hua Yin

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Sleep scheduling-aware minimum power broadcast in wireless ad hoc networks based on discrete particle swarm optimization by Xiao-jian ZHU, Jun SHEN

“…For the minimum power broadcast scheduling problem where network uses sleep scheduling and each node's transmission power is continuously adjustable,a recursive approach to compute the optimal transmission scheduling of a node was firstly presented,and then a discrete particle swarm optimization algorithm to construct the minimum power broadcast scheduling was proposed.This algorithm searches for the optimal broadcast arborescence,and utilizes the greedy algorithm based on the minimization of the broadcast's power increment and the local optimization algorithm based on the heuristic adjustment of the broadcast arborescence to improve the convergence speed and the result quality.The simulation results show that the proposed algorithm is able to effectively reduce the broadcast power.…”
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Exploring the Orca Predation Algorithm for Economic Dispatch Optimization in Power Systems by Vivi Aida Fitria, Arif Nur Afandi, Aripriharta

“…This research shows that Orca Predation Algorithm consistently does better than other bio-inspired algorithms like Particle Swarm Optimization, Whale Optimization Algorithm, Grey Wolf Optimizer, the Bat Algorithm, Genetic Algorithm and Ant Colony Optimization in terms of minimum cost, average cost, and solution stability. …”
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Moving Vehicle Detection and Tracking Based on Optical Flow Method and Immune Particle Filter under Complex Transportation Environments by Wei Sun, Min Sun, Xiaorui Zhang, Mian Li

“…In addition, traditional vehicle tracking algorithms are often occluded by trees, buildings, etc., and particle filters are also susceptible to particle degradation. …”
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Indoor High Precision Three-Dimensional Positioning System Based on Visible Light Communication Using Particle Swarm Optimization by Ye Cai, Weipeng Guan, Yuxiang Wu, Canyu Xie, Yirong Chen, Liangtao Fang

“…To solve these problems, a novel VLC positioning system based on modified particle swarm optimization (PSO) algorithm is put forward in this article. …”
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A spherical vector-based adaptive evolutionary particle swarm optimization for UAV path planning under threat conditions by Yanfei Liu, Hao Zhang, Hao Zheng, Qi Li, Qi Tian

“…To address these challenges, we propose a spherical vector-based adaptive evolutionary particle swarm optimization (SAEPSO) algorithm. This algorithm, based on spherical vectors, directly incorporates UAV dynamic constraints and introduces improved tent map and reverse learning to enhance the diversity and distribution of initial solutions. …”
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Short term traffic flow prediction and timing optimization at signalized intersections based on SG-LSTM and particle swarm optimization by Lei Yang, Ruijun Guo

“…In addressing the challenge of spatio-temporal correlation in traffic flow at signalized intersections, this study introduces an innovative methodology that integrates a SG-LSTM neural network with a particle swarm optimization algorithm. The proposed methodology involves the pre-processing of original traffic data to enhance its predictability, followed by the development of a short-term traffic flow prediction model utilizing the LSTM neural network. …”
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Modification of the Scharfetter–Gummel method for calculating the flux of charged particles for simulation of a radio-frequency capacitive coupled discharge by V.S. Zheltukhin, M.S. Fadeeva, V.Ju. Chebakova

“…The method is a modification of the Scharfetter–Gummel algorithm. Firstly, implicit difference approximation of the equation constructed by the integro-interpolation method is used for calculating the charged particles density. …”
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