Search Results - "Algorithm parameters"

Multi-objective optimization of marine nuclear power secondary circuit system based on improved multi-objective particle swarm optimization algorithm by Zhao, Jiarui, Li, Yanjun, Bai, Jinfeng, Ma, Lin, Shi, Changwei, Zhang, Guolei, Shi, Jianxin

“…The mathematical model for the main equipment and auxiliary equipment of the marine nuclear power secondary circuit system and the system heat balance…”
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Enhanced self-adaptive differential evolution multi-Objective algorithm for coordination of directional overcurrent relays contemplating maximum and minimum fault points by Shih, Meng Yen, Conde, Arturo, Ángeles-Camacho, Cesar

“…In this study, a parameter tune free enhanced self-adaptive differential evolution multi-objective (ESA-DEMO) approach has been proposed for coordination of…”
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Performance analysis of a data-offloading approach based on software-defined networking for heterogeneous networks by Romero Avendaño, Sebastian, Sánchez Huertas, Jann Camilo, Puerto Leguizamón, Gustavo Adolfo

“…This study presents the performance evaluation of a data-offloading algorithm developed and implemented in the framework of a software-defined network (SDN)…”
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Federated Learning Evolutionary Multi-objective Optimization Algorithm Based on Improved NSGA-III by HU Kangqi, MA Wubin, DAI Chaofan, WU Yahui, ZHOU Haohao

“…Federated learning is a novel distributed machine learning method that can train models without sharing raw data.Current federated learning methods suffer from…”
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Structure for interaction software process modules in the development of technological processes of cast by Fasevich, Yu. N., Rudnitsky, F. I.

“…On the basis of the General criterion of quality the problem-oriented program technological algorithm for adjustment of technological parameters at the expense…”
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Sensitivity of algorithm parameters and objective function scaling in multi-objective optimisation of water distribution systems by Mala-Jetmarova, Helena, Barton, Andrew, Bagirov, Adil

“…This paper presents an extensive analysis of the sensitivity of multi-objective algorithm parameters and objective function scaling tested on a large number of…”
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Parameters Research of Facial Emotion Detection Algorithm Based on Machine Learning by Ting, Zhou, Yadav, Amit, Jiang, Shi Xiao, Khan, Asif

“…The purpose of emotional state recognition is to let computers have the ability to analyze and understand human emotions and intentions, and deeply analyze…”
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Flood Forecasting Using Machine Learning Methods by Chang, Fi-John, Hsu, Kuolin, Chang, Li-Chiu

“…This book is a printed edition of the Special Issue Flood Forecasting Using Machine Learning Methods that was published in Water…”
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Empirical Analysis of Artificial Bee Colony Algorithm Parameters by Bajer, Drazen, Zoric, Bruno, Martinovic, Goran

“…The design of smart systems frequently includes various problems such as parameter estimation and optimisation, feature subset selection or model tuning. As a…”
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Bridging the gap between business objectives and parameters of data mining algorithms by Özden Gür Ali, F., Wallace, William A.

“…Data mining is being touted as having potential for discovering information that will contribute toward resolving business problems or creating business…”
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Predicting total phosphorus levels as indicators for shallow lake management by Mohammadi, Babak

“…The discusser thanks the authors for investigating the ability of modified random forest algorithm to predicting total phosphorus levels as indicators for…”
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Urban storm flood simulation using improved SWMM based on K‐means clustering of parameter samples by Sun, Yue, Liu, Chengshuai, Du, Xian, Yang, Fan, Yao, Yichen, Soomro, Shan‐e‐hyder, Hu, Caihong

“…To address the two problems of unclear delineation of sub‐catchment and complicated and cumbersome parameter rate determination in the Storm Water Management…”
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Competency of improved artificial ecosystem optimizer in parameters identification of small and medium sized distribution transformers by Draz, Abdelmonem, Ashraf, Hossam, El Shamy, Ahmed R., El-Fergany, Attia A.

“…Accurate modelling of distribution transformers (TXs) is crucial to identify their operating characteristics across several power system applications…”
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Integrated process planning and scheduling: an enhanced ant colony optimization heuristic with parameter tuning by Zhang, S., Wong, T. N.

“…This study develops an enhanced ant colony optimization (E-ACO) meta-heuristic to accomplish the integrated process planning and scheduling (IPPS) problem in…”
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Thermal relaxation parameters estimation of non-Fourier heat transfer in laser-irradiated living tissue using the Levenberg-Marquardt algorithm by Kishore, Pankaj, Kumar, Sumit

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Inter-laboratory verification of European pharmacopoeia monograph on derivative spectrophotometry method and its application for chitosan hydrochloride by Marković, Bojan, Ignjatović, Janko, Vujadinović, Mirjana, Savić, Vedrana, Vladimirov, Sote, Karljiković-Rajić, Katarina

“…Derivative spectrophotometry – interlaboratory method transfer in pharmaceutical analysis. [Display omitted] •Inter-laboratory verification of derivative…”
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Maintaining Healthy Population Diversity Using Adaptive Crossover, Mutation, and Selection by McGinley, Brian, Maher, John, O'Riordan, Colm, Morgan, Fearghal

“…This paper presents ACROMUSE, a novel genetic algorithm (GA) which adapts crossover, mutation, and selection parameters. ACROMUSEs objective is to create and…”
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Parameters Sensitivity Analysis of Ant Colony Based Clustering: Application for Student Grouping in Collaborative Learning Environment by Abid, Abir, Kallel, Ilhem, Sanchez-Medina, Javier J., Ayed, Mounir Ben

“…Clustering analysis is one of the data analysis techniques that organizes items into clusters according to their degrees of similarities. In this context,…”
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Joint Estimation of Adsorptive Contaminant Source and Hydraulic Conductivity Using an Iterative Local Updating Ensemble Smoother with Geometric Inflation Selection by Xia, Xuemin, Li, Xiang, Sun, Yue, Cheng, Guoqiang

“…The joint estimation of groundwater contaminant source characteristics and hydraulic conductivity is of great significance for reactive contaminant transport…”
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Knowledge- and Model-Driven Deep Reinforcement Learning for Efficient Federated Edge Learning: Single- and Multi-Agent Frameworks by Li, Yangchen, Zhao, Lingzhi, Wang, Tianle, Ding, Lianghui, Yang, Feng

“…In this paper, we investigate federated learning (FL) efficiency improvement in practical edge computing systems, where edge workers have non-independent and…”
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