Discrete optimizations’ problems of deliveries of heterogeneous products by V. V. Egorov

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Research on content distribution mechanism of MP2P networks by Guo-yin ZHANG, Lu LI, Jian-guo SUN, Xiang-hui WANG

“…In consideration of the current MP2P network disturbance from frequent location changes of the mobile nodes,the limited computing power and storage capacity,a flexible strategy of partition management by assigning different functions to nodes according to some standards,regarding a subnet as a unit and using super-nodes to manage subnets were proposed.In order to speed up the data transmission and replacement efficiency,data was processed with partial network coding technology.Additionally,a trans-subnet query algorithm was proposed to link subnets,conduct informa-tion exchange between subnets and resource location.Results of the experiment manifested that this strategy can effi-ciently increase the resource download success rate and hit rate,reduce the average delay,improve the content distribu-tion efficiency of MP2P networks,and simultaneously enhance system robustness.…”
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Surface Unequal Charging Effect of GEO Satellite by Jianhong Hao, Biao Ru, Jieqing Fan

“…In this study, a three-dimensional model of a geosynchronous orbit (GEO) satellite is constructed, and the particle cloud grid algorithm (Particle-In-Cell,PIC) was used to simulate the charging process and the surface charge state of satellite in different lasma environment. …”
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Multi-verse Optimization-based MPPT Design for PV-TEG System by Dahu LI, Hongyu ZHOU, Yue ZHOU, Yuze RAO, Wei YAO

“…A centralized hybrid photovoltaic thermoelectric generator (PV-TEG) system shows multiple local maximum power points (LMPPs) under a partial shading condition (PSC). The multi-verse optimization (MVO) is used for the maximum power point tracking (MPPT) of the PV-TEG system under PSC. …”
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A Hybrid Multi-Criteria Decision-Making and Multi-Objective Framework for Optimal Sizing of PV-Powered EV Charging Station With Battery Storage by Soumya Sathyan, V. Ravikumar Pandi, Preetha Sreekumar, Nishant Thakkar, Surender Reddy Salkuti

“…The proposed framework was implemented using MATLAB, which enabled efficient development and testing of the algorithm. Three case studies were conducted to evaluate the influence of Analytic Hierarchy Process (AHP) derived weights on the system design obtained using the proposed framework. …”
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SAHAANN: A NOVEL EVOLUTIONARY ARTIFICIAL NEURAL NETWORK FOR IMPROVED FINANCIAL TIME SERIES FORECASTING by Abdul Khadeer, Vanaparthi Kiranmai, B. Suvarnamukhi, Ayaz Mohiuddin, Balika Mahesh, P M Suresh, J Arthy, Sasikumar A N, Sudersan Behera, Mohd Ayaz Uddin

“…We were able to see how the results of training the ANN model with different metaheuristics, such as the genetic algorithm (GA), particle swarm optimization (PSO), differential evolution (DE), fireworks algorithm (FWA), and chemical reaction optimization (CRO). …”
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Ornithological flight safety as a task of decision making in conditions of uncertainty by P. P. Hachikyan

“…A new concept for ornithological flight safety by dividing threats into those in a field of partial uncertainty and those in a field of deep uncertainty is proposed by the author. …”
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Model of a Photovoltaic Module for the MatLab/Simulink SimPowerSystems Library by D. I. Zalizny

“…The model solved the problems of the algorithm stability for calculating algebraic cycles by introducing constraint the current and the voltage parameters. …”
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Study on Color Detection of Korla Fragrant Pears by Near-Infrared Spectroscopy Combined with PLSR by Yifan Xia, Yang Liu, Hong Zhang, Jikai Che, Qing Liang

“…The pre-processed spectral data were subjected to characteristic band extraction using the successive projections algorithm (SPA) and uninformative variable elimination (UVE) methods. …”
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A novel solid waste instance creation for an optimized capacitated vehicle routing model using discrete smell agent optimization algorithm by Ahmed T. Salawudeen, Olusesi A. Meadows, Basira Yahaya, Muhammed B. Mu'azu

“…The developed model was optimized using a new discrete smell agent optimization (SAO) algorithm and compared to firefly algorithm (FA) and particle swarm optimization (PSO). …”
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Investigation of the Effect of Upstream Slope and Bed Material on the Rate of Pollutant Release to Downstream Dams Using a Two-Phase SPH algorithm by Rahim Shamsoddini, Bahador Abolpour, Yi Zhao

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Identification of significant bio-markers from high-dimensional cancerous data employing a modified multi-objective meta-heuristic algorithm by Prajna Paramita Debata, Puspanjali Mohapatra

“…Here, the suggested algorithm has been compared with multi-objective chaotic Genetic Algorithm (MOCGA), multi-objective chaotic particle swarm optimization (MOCPSO), multi-objective Jaya (MOJaya), multi-objective PSO (MOPSO), and non-dominated sorting GA (NSGA-II) models. …”
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KO algorithm-based bi-level optimal scheduling of electricity-carbon-hydrogen coupling systems with flexible resources for renewable energy integration by Jing Liu, Zicheng Guo, Yalong Li

“…Moreover, the Kepler optimization (KO) algorithm is applied and benchmarked against flower pollination (FP) algorithm and particle swarm optimization (PSO) algorithm. …”
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Linear Active Disturbance Rejection Control System for the Travel Speed of an Electric Reel Sprinkling Irrigation Machine by Lingdi Tang, Wei Wang, Chenjun Zhang, Zanya Wang, Zeyu Ge, Shouqi Yuan

“…To enhance the robustness of the control system, it is necessary to investigate new disturbance rejection control algorithms and their effects. Therefore, a kinematic model of the reel sprinkling irrigation machine and a brushless DC (BLDC) motor model were established, and a linear active disturbance rejection control (LADRC) strategy based on improved particle swarm optimization (IPSO) was proposed. …”
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Implementation of real-time optimal load scheduling for IoT-based intelligent smart energy management system using new decisive algorithm by Challa Krishna Rao, Sarat Kumar Sahoo, Franco Fernando Yanine

“…The innovative approach of controlled partial load shedding based on consumer priorities ensures a balanced and resilient energy supply. …”
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Multi-Parameter Optimization Using Metaheuristic Algorithms to Improve Uncrewed Aerial Vehicles’ Wireless Communications: A Performance Analysis by Lalan J. Mishra, Naima Kaabouch

“…All algorithms achieved BERs of <inline-formula> <tex-math notation="LaTeX">$10^{-5}$ </tex-math></inline-formula> or lower. …”
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Path tracking control of autonomous vehicle under the measurement disturbance via a novel robust model free adaptive control algorithm by Shida Liu, Guang Lin, Honghai Ji, Li Wang

“…Second, a novel dynamic linearization technique is employed to convert the nonlinear dynamical model, based on preview-deviation-yaw angle, into a linear data model with pseudo partial derivative (PPD), and the proposed algorithm (PFDL-EMFAC) is designed based on this data model. …”
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Fusion of Visible and Infrared Images Using a Reinforcement Learning System Based on Fuzzy Logic and Convolution Optimized with Wild Horse Algorithm by Mahvash Zarimeidani, Amir Amirabadi, Nasrin Amiri, Iman Ahanian, Siavash Es’haghi

“…This hybrid reinforcement learning system was optimized using algorithms including wild horse optimization (WHO), genetic algorithm (GA), and particle swarm optimization (PSO) to improve specific fusion metrics such as image correlation, similarity coefficient, image entropy, and signal-to-noise ratio. …”
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Optimizing Outdoor Micro-Space Design for Prolonged Activity Duration: A Study Integrating Rough Set Theory and the PSO-SVR Algorithm by Jingwen Tian, Zimo Chen, Lingling Yuan, Hongtao Zhou

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Accelerating Convergence of Stein Variational Gradient Descent via Deep Unfolding by Yuya Kawamura, Satoshi Takabe

“…Stein variational gradient descent (SVGD) is a prominent particle-based variational inference method used for sampling a target distribution. …”
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