EOQ MODEL FOR DETERIORATING AND AMELIORATING ITEMS UNDER CUBIC DEMAND AND PARTIAL BACKLOGGING by Hafizha Nur Laily, Sobri Abusini, Umu Sa’adah

“…The search algorithm of the model solution was made to get a solution from the model. …”
Get full text

An Analytical Approach for Fast Recovery of the LSI Properties in Magnetic Particle Imaging by Hamed Jabbari Asl, Jungwon Yoon

“…Available recovery algorithms, which are based on signal matching of multiple partial field of views (pFOVs), require much processing time and a priori information at the start of imaging. …”
Get full text

New Perspective on the Conventional Solutions of the Nonlinear Time-Fractional Partial Differential Equations by Hijaz Ahmad, Ali Akgül, Tufail A. Khan, Predrag S. Stanimirović, Yu-Ming Chu

“…This work aims to present a novel approach termed as fractional iteration algorithm-I for finding the numerical solution of nonlinear noninteger order partial differential equations. …”
Get full text

Dimensionality Reduction and Clustering Strategies for Label Propagation in Partial Discharge Data Sets by Ronaldo F. Zampolo, Frederico H. R. Lopes, Rodrigo M. S. de Oliveira, Martim F. Fernandes, Victor Dmitriev

“…In this work, we propose a label propagation algorithm applied to PRPD data sets, aiming to reduce the time necessary to manually label PRPDs. …”
Get full text

EPPTA: Efficient partially observable reinforcement learning agent for penetration testing applications by Zegang Li, Qian Zhang, Guangwen Yang

“…Effectively managing the intrinsic uncertainties via partially observable Markov decision processes (POMDPs) constitutes a persistent challenge within the realm of pen‐testing. …”
Get full text

UHF Partial Discharge Localization Methodology Based on Generalized Regression Neural Network by Qichen YU, Lingen LUO, Fan WU, Gehao SHENG, Xiuchen JIANG

“…Partial discharge (PD) detection and localization is an important means for condition monitoring and diagnosis of power equipment. …”
Get full text

Hybrid Fuzzy–DDPG Approach for Efficient MPPT in Partially Shaded Photovoltaic Panels by Diana Ortiz-Munoz, David Luviano-Cruz, Luis A. Perez-Dominguez, Alma G. Rodriguez-Ramirez, Francesco Garcia-Luna

“…Partial shading conditions reduce the efficiency of photovoltaic (PV) systems by introducing multiple local maxima in the power–voltage curve, complicating Maximum Power Point Tracking (MPPT). …”
Get full text

An Upper Partial Moment Framework for Pathfinding Problem Under Travel Time Uncertainty by Xu Zhang, Mei Chen

“…This study proposes a mean-upper partial moment (MUPM) framework for pathfinding that explicitly considers travel time unreliability. …”
Get full text

THE SOLUTION OF MULTIEXTREME PROBLEMS BY THE SWARM SHARING METHOD by Rudolf A. NEYDORF, Anna A. DEREVYANKINA

Subjects: Get full text

Multi-UAV Collaborative Target Search Method in Unknown Dynamic Environment by Liyuan Yang, Yongping Hao, Jiulong Xu, Meixuan Li

Subjects: Get full text

Comparison of Different Heuristics Integrated with Neural Networks: A Case Study for Earthquake Damage Estimation by Ayşe Berika Varol Malkoçoğlu, Zeynep Orman, Rüya Şamlı

Subjects: Get full text

Novel blind identification and equalization new method based on particle filter by WANG Lei, LIU Yu-lin

“…Based on particle filter theory,a new novel blind identification and equalization algorithm was proposed sam-pling of the posterior probability distribution was avoided by sampling the expectation instead of actual values of the channel,so as to reduce the complexity of algorithm.In addition,the importance sampling process could be simplified greatly by choosing the prior density as the importance function.Simulation results show that the algorithm has fast conver-gence performance and be effective even under the circumstances of very low signal-to-noise ratio and less observation data.…”
Get full text

Novel blind identification and equalization new method based on particle filter by WANG Lei, LIU Yu-lin

“…Based on particle filter theory,a new novel blind identification and equalization algorithm was proposed sam-pling of the posterior probability distribution was avoided by sampling the expectation instead of actual values of the channel,so as to reduce the complexity of algorithm.In addition,the importance sampling process could be simplified greatly by choosing the prior density as the importance function.Simulation results show that the algorithm has fast conver-gence performance and be effective even under the circumstances of very low signal-to-noise ratio and less observation data.…”
Get full text

Investigation into the Performance Enhancement and Configuration Paradigm of Partially Integrated RL-MPC System by Wanqi Guo, Shigeyuki Tateno

“…The improvement of the partially integrated reinforcement learning-model predictive control (RL-MPC) system is developed in the paper by introducing the Deep Deterministic Policy Gradient (DDPG) and Twin Delayed Deep Deterministic Policy Gradient (TD3) algorithms. …”
Get full text

An Improved Particle Swarm Optimization for Solving Bilevel Multiobjective Programming Problem by Tao Zhang, Tiesong Hu, Yue Zheng, Xuning Guo

“…An improved particle swarm optimization (PSO) algorithm is proposed for solving bilevel multiobjective programming problem (BLMPP). …”
Get full text

An Advanced Auxiliary Delay-Weight Particle Filter with Linear Computation Cost by Chen Li, Lin Sun, Zengwei Zheng, Dan Chen

“…We propose an advanced auxiliary delayed-weight particle filter algorithm (ADWPF). We make a deep study on the evolvement of particles and formally define the tree-like structure relationship among particles based on observations. …”
Get full text

Modified particle swarm optimization (MPSO) optimized CNN’s hyperparameters for classification by Murinto Murinto, Sri Winiarti

“…This paper proposes a convolutional neural network architectural design approach using the modified particle swarm optimization (MPSO) algorithm. Adjusting hyper-parameters and searching for optimal network architecture from convolutional neural networks (CNN) is an interesting challenge. …”
Get full text

Multispecies Coevolution Particle Swarm Optimization Based on Previous Search History by Danping Wang, Kunyuan Hu, Lianbo Ma, Maowei He, Hanning Chen

“…A hybrid coevolution particle swarm optimization algorithm with dynamic multispecies strategy based on K-means clustering and nonrevisit strategy based on Binary Space Partitioning fitness tree (called MCPSO-PSH) is proposed. …”
Get full text

An improved particle swarm optimization for multilevel thresholding medical image segmentation. by Jiaqi Ma, Jianmin Hu

“…Aiming at the drawbacks of premature convergence of existing optimization algorithms for high-bit depth image segmentation, this paper presents a pyramid particle swarm optimization based on complementary inertia weights (CIWP-PSO), and the Kapur entropy is employed as the optimization objective. …”
Get full text

CALCULATION OF EFFECTIVE ELECTRODYNAMICAL PARAMETERS FOR COMPOSITES WITH PARTICLES FROM SPECIAL MEDIUMS by V. T. Erofeenko, V. F. Bondarenko

“…A analytical algorithm for calculation of the effective material parameters of matrix composites consisting of the magnetodielectric matrix and a randomly distributed system of spherical particles is considered. …”
Get full text