Application of Levy flight-based harmony search algorithm for the flexible job shop scheduling by Jun Li, Yang Zhou

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<italic>UAV-NavS</italic>: Three-Dimensional Navigation System of Multiple Unmanned Aerial Vehicles Using Hybrid Optimization Algorithm by Monia Digra, Upma Jain, Ram Kishan Dewangan, Himanshu Suyal

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Efficient Solution Algorithms for Resource Planning and Scheduling in Seasonal Reservation Systems by Uğur Eliiyi

“…Purpose: In this study, efficient solution algorithms are proposed for a problem which simultaneously optimizes capacity planning and scheduling decisions in reservation systems. …”
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Semantic aware intelligent optimization for IRS/UAV-enabled MEC in wideband cognitive radio networks by Wei Zheng, Pengshan Ren, Qing Li

“…Furthermore, to tackle the non-convexity caused by highly coupled optimization variables, we employ a deep reinforcement learning algorithm based on double deep Q-network and twin delayed deep deterministic policy gradient (DDQN-TD3). …”
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Benchmarking Variants of the Adam Optimizer for Quantum Machine Learning Applications by Tuan Hai Vu, Vu Trung Duong Le, Hoai Luan Pham, Yasuhiko Nakashima

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Dynamic computing offloading strategy in LEO constellation edge computing network by GAO Yufang, JI Zhi, ZHAO Kanglian, LI Wenfeng, HU Peicong

“…Simulation results show that compared to the benchmark algorithm, the proposed algorithm can significantly reduce the co-channel interference and the system overhead, and achieve near-optimal performance.…”
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Back pain: diagnostic and therapeutic algorithms in outpatient practice by N. A. Shostak, A. V. Novikova, N. G. Pravdyuk, D. A. Shemetov

“…The algorithm for treatment of acute and chronic episodes of pain should include informing the patient about the favorable outcome in the vast majority of cases, optimizing the physical activity of the patient, the use of complex drug therapy, the basis of which are nonsteroidal anti-inflammatory drugs (predominantly selective), muscle relaxants and other pathogenetically based medicines.…”
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Optimizing Transportation Costs: Enhancing Logistics Efficiency and Resource Utilization in Dynamic Environments by Cao Ngoc Anh, Tran Bich Thao, Tran Ba Hung, Trinh Thu Huong, Nguyen Viet Hung

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Bridging ACO-Based Drone Logistics and Computing Continuum for Enhanced Smart City Applications by Salvatore Rosario Bassolillo, Egidio D’Amato, Immacolata Notaro, Luca D’Agati, Giovanni Merlino, Giuseppe Tricomi

“…This paper proposes a comprehensive approach to optimizing urban delivery logistics through a cloud-based model that employs Ant Colony Optimization (ACO) for planning and Model Predictive Control (MPC) for trajectory tracking within a broader Computing Continuum framework. …”
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A Mathematical Survey of Image Deep Edge Detection Algorithms: From Convolution to Attention by Gang Hu

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Path Planning of Surface vessel based on improved IRRT* algorithm by Hao Yu, Xin Wang, Hao Peng

“…Simulation experiments and actual sea area tests show that compared with the existing algorithms, the average Computation time of the improved algorithm is reduced by 71 %, 69 % and 79 % respectively, and the planned path length is reduced by 28 %, 28 % and 1 %, respectively. the number of search nodes is reduced by 88 %, 86 % and 81 %. …”
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Analytical MPC Algorithm Using Steady-State Process Model by Piotr M. Marusak

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A modified perturb and observe MPPT algorithm for PEMFC with rapid convergence and low power oscillation by Resat Celikel, Omur Aydogmus, Musa Yilmaz

“…A comparative analysis is conducted against the conventional P&O and optimization-based MPPT algorithms, including Particle Swarm Optimization (PSO), Cuckoo Search Algorithm (CSA), and Genetic Algorithm (GA). …”
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A Hybrid Approach for Reachability Analysis of Complex Software Systems Using Fuzzy Adaptive Particle Swarm Optimization Algorithm and Rule Composition by Nahid Salimi, Seyfollah Soleimani, Vahid Rafe, Davood Khodadad

“…Recently, various evolutionary algorithms, such as Genetic Algorithms and Particle Swarm Optimization, have been applied to detect deadlock states. …”
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Application of harmony search algorithm in optimizing autoregressive integrated moving average: A study on a data set of Coronavirus Disease 2019 by Riya Karmakar, Sandip Chatterjee, Debabrata Datta, Dipankar Chakraborty

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An Innovative Hybrid Approach Producing Trial Solutions for Global Optimization by Vasileios Charilogis, Glykeria Kyrou, Ioannis G. Tsoulos, Anna Maria Gianni

“…Global optimization is critical in engineering, computer science, and various industrial applications as it aims to find optimal solutions for complex problems. …”
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The Bregman Modified Second APG Method for DC Optimization Problems by Lumiao Wang, Ziye Liu, Chunguang Liu

“…Our numerical experiments on two practical problems demonstrate the theoretical validity of BAPGs while showcasing its performance compared to: 1) the original APGs method, 2) existing Bregman-type algorithms, and 3) classical DC approaches. The results confirm that BAPGs effectively balances computational efficiency with relaxed smoothness requirements.…”
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Secure bio-inspired optimization with intrusion aware on-demand routing in MANETs by N. Naveen, J. Nirmaladevi

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A Real-time Motion Planning Algorithm for AUV based on IDVD Method by Guoshun LIU, Wei GUO, Yanjun LAN, Yifan FU

“…First, a safe global path was generated using a path planning algorithm, followed by path optimization within the sensing range of the forward-looking sonar to produce safe and feasible trajectories. …”
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A review: Multi-Objective Algorithm for Community Detection in Complex Social Networks by Mariwan Wahid Ahmed, Kamaran Faraj

“…Recently, research on multi-objective optimization algorithms for community detection in complex networks has grown considerably. …”
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