Improved grey wolf optimization algorithm based service function chain mapping algorithm by Yue ZHANG, Junnan ZHANG, Xiaochun WU, Chen HONG, Jingjing ZHOU

“…With the rise of new Internet applications such as the industrial Internet, the Internet of vehicles, and the metaverse, the network’s requirements for low latency, reliability, security, and certainty are facing severe challenges.In the process of virtual network deployment, when using network function virtualization technology, there were problems such as low service function chain mapping efficiency and high deployment resource overhead.The node activation cost and instantiation cost was jointly considered, an integer linear programming model with the optimization goal of minimizing the average deployment network cost was established, and an improved grey wolf optimization service function chain mapping (IMGWO-SFCM) algorithm was proposed.Three strategies: mapping scheme search based on acyclic KSP algorithm, mapping scheme coding and improvement based on reverse learning and nonlinear convergence were added to the standard grey wolf optimization algorithm to form this algorithm.The global search and local search capabilities were well balanced and the service function chain mapping scheme was quickly determined by IMGWO-SFCM.Compared with the comparison algorithm, IMGWO-SFCM reduces the average deployment network cost by 11.86% while ensuring a higher service function chain request acceptance rate.…”
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Chain hybrid feature selection algorithm based on improved Grey Wolf Optimization algorithm. by Xiaotong Bai, Yuefeng Zheng, Yang Lu, Yongtao Shi

“…In particular, the wrapper algorithm is an improved Grey Wolf Optimization (IGWO) algorithm based on random disturbance factors, while the parameters are adjusted to vary randomly to make the population variations rich in diversity. …”
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Improved optimization based on parrot’s chaotic optimizer for solving complex problems in engineering and medical image segmentation by Adil Sayyouri, Ahmed Bencherqui, Hanaa Mansouri, Hicham Karmouni, Hassane Moustabchir, Mhamed Sayyouri, Abderrahim Bourkane, Abdeljabbar Cherkaoui, S. S. Askar, Mohamed Abouhawwash

“…Abstract Metaheuristics, which are general-purpose algorithms, are commonly used to solve complex optimization problems. …”
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Optimization of strutted beam parameters by A. K. Yusupov, H. M. Musеlеmov, T. O. Ustarhanov

“…The objective of the research is to design strutted beams that have optimal parameters for metal consumption.Methods. …”
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Mixed Multi-Strategy Improved Aquila Optimizer and Its Application in Path Planning by Tianyue Bao, Jiaxin Zhao, Yanchang Liu, Xusheng Guo, Tianshuo Chen

“…Traditional Aquila Optimizers, while effective, face limitations such as uneven population initialization, a tendency to get trapped in local optima, and slow convergence rates. …”
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An effective feature selection approach based on hybrid Grey Wolf Optimizer and Genetic Algorithm for hyperspectral image by Yiqun Shang, Minrui Zheng, Jiayang Li, Xinqi Zheng

“…To address these challenges, we propose GWOGA, a novel hybrid algorithm that combines Grey Wolf Optimizer (GWO) and Genetic Algorithm (GA), aiming to achieve an effective balance between exploration and exploitation. …”
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An Iterative Optimization Algorithm for Planning Spacecraft Pathways Through Asteroids by Valentino Santucci

“…In this article, we explore the use of meta-heuristic algorithms for costly black-box permutation optimization problems. …”
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Optimized Power Allocation Algorithms for UAV-Based Agricultural Systems by Ayman Massaoudi, Walid Aydi

“…Additionally, we employ an uplink heuristic power control algorithm (UHPCA) to determine the optimal power allocation. …”
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Enhanced zebra optimization algorithm and applications of power allocation in SDWN by LI Jiajia, DONG Ligang, JIANG Xian

“…By introducing exploration factors and perturbation parameters into the zebra optimization algorithm, EZOA enhanced global search and local exploitation capabilities, while also improving the foraging strategy to increase algorithm diversity. …”
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Optimization of Iterative Algorithms for Focusing Light Through Scattering Media by Yulan Zhou, Xun Li

“…Two independent processes, characterizing the transmission matrix (TM) of the scattering media and calculating the phase compensation of the SPM, are included in our optimized algorithm. While the TM of the scattering media is determined through the interference effect and the light reciprocity principle, the phase compensation of the SPM is calculated using the Rayleigh–Sommerfeld diffraction theory. …”
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Genetic Algorithm Optimization of the Volute Shape of a Centrifugal Compressor by Martin Heinrich, Rüdiger Schwarze

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Analysis and Optimization of Flapping-Wing Mechanism Based on Genetic Algorithm by Yunyu Ling, Benyou Liu, Hongxin Zhang, Lan Bo, Mingjie Liu

“…Inspired by the wing-flapping action of birds, this study considers the inherent dynamics among vehicle mechanisms to optimize the vehicle’s geometric parameters. The goal is for the vehicle to imitate the wing-flapping action of birds while minimizing energy consumption and the peak torque during flapping. …”
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Majorisation‐minimisation algorithm for optimal state discrimination in quantum communications by Neel Kanth Kundu, Prabhu Babu, Petre Stoica

“…Our numerical simulations demonstrate that the proposed QMM algorithm significantly outperforms the state‐of‐the‐art SDP algorithm in terms of speed, while maintaining comparable performance for solving QSD problems in quantum communication applications.…”
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Optimization of constant-speed control algorithm for high-speed EMUs by XIONG Yan, ZHOU Shangru, XU Qing, HUANG He

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Enhanced optimisation of MPLS network traffic using a novel adjustable Bat algorithm with loudness optimizer by Mohsin Masood, Mohamed Mostafa Fouad, Rashid Kamal, Khursheed Aurangzeb, Sheraz Aslam, Zahid Ullah, Ivan Glesk

“…This study explores the influence of the algorithm's loudness parameter and introduces a novel Adjustable Bat Algorithm (ABAT) that dynamically optimizes this parameter. …”
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Sequential Memetic Algorithm Optimization for Allocation Planning in Hostelry Establishments by Rubén Ferrero-Guillén, Alberto Martínez-Gutiérrez, Rubén Álvarez, Javier Díez-González

“…Existing approaches to this problem fail to address both the TLP and CLP simultaneously, thus resulting in suboptimal solutions achieved by imposing optimization constraints. Therefore, in this paper, a sequential optimization methodology based on a GBLS MA (Gradient-Based Local Search Memetic Algorithm) optimizations is proposed for optimizing the table and chair disposition simultaneously while also considering scenario and distancing restrictions. …”
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(IoT) Network intrusion detection system using optimization algorithms by Luo Shan

“…Abstract To address the complex requirements of network intrusion detection in IoT environments, this study proposes a hybrid intelligent framework that integrates the Whale Optimization Algorithm (WOA) and the Grey Wolf Optimization (GWO) algorithm—referred to as WOA-GWO. …”
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ALGORITHM FOR OPTIMIZING ORGANIC CARBON AND NITROGEN FLOWS ON RECLAIMED LANDS by Mikhail N. Lytov

“…The working hypothesis of the research is that any level of agrocenosis bioproductivity requires a proportional amount of decomposable organic matter, which should not exceed a certain share of labile organic matter contained in the soil. Results. An algorithm that operates with two main regulators: the application mass of mineral nitrogen and organic matter, and determines the optimal balance for them, ensuring at least a non-negative trend in stable humus reproduction while achieving target indicators for the level of agrocenosis bioproductivity, has been developed. …”
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Tower Crane Layout Planning: Multi-Optimal Solutions Algorithm by Xiaokang Huang, Huazhou Chen, Rui Wang, Heng Wang, Shuai Li, Pengfei Zhang, Zhen Yang

“…Effective tower crane layout planning is essential for the success of construction projects. Traditional optimization algorithms, which often provide a single optimal solution, may not always reveal the global optimum, leaving room for doubt. …”
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Scheduling Optimization of Sugarcane Harvest Using Simulated Annealing Algorithm by Eka Nur Afifah, Alamsyah Alamsyah, Endang Sugiharti

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