Fast Non-Dominated Sorting Tuna Swarm Optimization Algorithm (FNS-TSO): Time-Energy-Impact Multi-Objective Optimization of Underwater Manipulator Trajectories by Xingyao Wang, Yanjun Liu, Gang Xue, Fagang Bai, Shuting Huang

“…To verify FNS-TSO’s effectiveness, we conducted comparative evaluations using standard test functions against three established algorithms: Multi-Objective Particle Swarm Optimization (MOPSO), Multi-Objective Jellyfish Search Optimization (MOJSO), and the Non-Dominated-Sorting Genetic Algorithm (NSGA-II). …”
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Quantum-enhanced beetle swarm optimized ELM for high-dimensional smart grid intrusion detection by Na Cheng, Shuqing Wang, Lihong Zhao, Yan Hu

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Geographic Routing Scheme for Resource and Communication Efficiency in the IoT Ecosystem using Swarm-Intelligence based BFO Algorithm by Shreyas J, Chethana Reddy, Dharamendra Chouhan, P. K. Udayaprasad, N. N. Srinidhi, S. M. Dilipkumar

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Proposing an Improved Version of the Bat Algorithm by Davar Giveki, Javad Ebrahimi, Maryam Sarshar

“…The bat algorithm is an example of meta-heuristic algorithms from the collective swarm intelligence, which is based on the echolocation behavior of bats. …”
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Cable Force Optimization in Cable-Stayed Bridges Using Gaussian Process Regression and an Enhanced Whale Optimization Algorithm by Bing Tu, Pengtao Zhang, Shunyao Cai, Chongyuan Jiao

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Ultra-Compact Broadband In-Line Mode Converter Based on a Width-Modulated Silicon Waveguide by Ze Chen, Tianying Lin, Xiaoping Liu, Haibin Lv

“…Its modulation profile is designed by using the particle swarm optimization algorithm. This device has a simulated conversion efficiency of about −0.174 dB and an insertion loss less than 0.153 dB within 100-nm wavelength bandwidth from 1500 nm to 1600 nm. …”
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Hare escape optimization algorithm with applications in engineering and deep learning by Doaa Alsamee, Reza Ramezani

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Optimizing Unmanned Vehicle Navigation: A Hybrid PSO-GWO Algorithm for Efficient Route Planning by Gökhan Altun, İlhan Aydın

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Swarm Behaviour Optimisation Methods Based on an Original Algorithm by Krzysztof FALKOWSKI, Michał DUDA

“…This article presents an authorial swarm algorithm that performs coverage tasks using the Sweep Coverage method. …”
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SWARM ALGORITHM OF SYNTHESIS TUTORIALS BASED ON ONTOLOGICAL APPROACH by Boris K. Lebedev, Oleg B. Lebedev

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Dynamic Foraging in Swarm Robotics: A Hybrid Approach with Modular Design and Deep Reinforcement Learning Intelligence by Ali Hammoud, Alaa Iskandar, Béla Kovács

“…Deep reinforcement learning (RL) and particle swarm optimization (PSO) are deployed in the proposed modular architecture. …”
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Sharpbelly Fish Optimization Algorithm: A Bio-Inspired Metaheuristic for Complex Engineering by Jian Liu, Rong Wang, Yonghong Deng, Xiaona Huang, Zhibin Li

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Forgetful Swarm Optimization for Astronomical Observation Scheduling by Nariman Nakhjiri, Maria Salamo, Miquel Sanchez-Marre, Christian Blum, Juan Carlos Morales

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Task-Sequencing Optimization Using DSSA Algorithm for AUV with Limited Endurance by Qixin Sha, Jiaming Zhang, Yue Shen, Bo He

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CMA-PSO Algorithm for Fuzzy Cloud Resource Scheduling by LI Cheng-yan, SONG Yue, MA Jin-tao

“…Aiming at the multiobjective cloud resource scheduling problem, with the goal of optimizing the total completion time and total execution cost of the task, a fuzzy cloud resource scheduling model is established using the method of fuzzy mathematics.Utilizing the advantage of the covariance matrix that can solve the non-convexity problem, adopting the covariance evolution strategy to initialize the population, a hybrid intelligent optimization algorithm CMA-PSO algorithm (covariance matrix adaptation evolution strategy particle swarm optimization，CMA-PSO) is proposed to solve the fuzzy cloud resource scheduling model.The Cloudsim simulation platform was used to randomly generate cloud computing resource scheduling data, and the CMA-PSO algorithm was tested.The experimental results showed that compared with the PSO algorithm (particle swarm optimization), the optimization capability of CMA-PSO algorithm is increased by 28%, the number of iterations of CMA-PSO algorithm is increased by 20%, and it has good load balancing performance.…”
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Model Similarity Calculation Based on Adaptive Global Optimal Harmony Search by GAO Xue-yao, DONG Xin-ran, ZHANG Chun-xiang

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A Hybrid Optimization Approach for Residential Energy Management by Yantai Huang, Jinjiang Zhang, Yujie Mo, Shuijin Lu, Junchao Ma

“…The discrete variables are optimized by using a particle swarm optimization (PSO) algorithm, whilst the continuous variables are determined by using a gradient-based deterministic algorithm. …”
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Hybrid lion and exponential PSO-based metaheuristic clustering approach for efficient dynamic data stream management by M. Ananthi, K. Valarmathi, A. Ramathilagam, R. Praveen

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Optimizing oil production forecasts in Iranian oil fields: a comprehensive analysis using ensemble learning techniques by Mohammad Ghodsi, Pouya Vaziri, Mahdi Kanaani, Behnam Sedaee

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Optimizing SVC placement for enhanced voltage stability using a novel index and hybrid ABC-PSO algorithm by Hafizur Rahman, Roman Mia, Mustafizur Rahman, Md. Faiyaj Ahmed Limon, Md. Shahid Iqbal, Md. Fahad Jubayer, Md. Rabiul Karim, Md. Janibul Alam Soeb

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