Results 111 to 120 of about 81,531 (237)

Dynamic Shannon Performance in a Multiobjective Particle Swarm Optimization

Entropy, 2019
Particle swarm optimization (PSO) is a search algorithm inspired by the collective behavior of flocking birds and fishes. This algorithm is widely adopted for solving optimization problems involving one objective.
E. J. Solteiro Pires, J. A. Tenreiro Machado, P. B. de Moura Oliveira   +2 more
doaj   +1 more source

Review on enhancing clinical decision support system using machine learning

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood, Usman Naseem, Junaid Rashid, Jungeun Kim, Imran Razzak   +4 more
wiley   +1 more source

Convergence analysis of particle swarm optimization algorithms for different constriction factors

Frontiers in Applied Mathematics and Statistics
Particle swarm optimization (PSO) algorithm is an optimization technique with remarkable performance for problem solving. The convergence analysis of the method is still in research.
Dereje Tarekegn Nigatu, Tekle Gemechu Dinka, Surafel Luleseged Tilahun   +2 more
doaj   +1 more source

Short‐Term Multi‐Horizon Line Loss Rate Forecasting of a Distribution Network Using Attention‐GCN‐LSTM

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurately predicting line loss rates is crucial for effective management in distribution networks, particularly for short‐term multihorizon forecasts ranging from 1 hour to 1 week. In this study, we propose attention‐GCN–LSTM, a novel method that integrates graph convolutional networks (GCN), long short‐term memory (LSTM) and a three‐level ...
Jie Liu, Yijia Cao, Yong Li, Yixiu Guo, Wei Deng   +4 more
wiley   +1 more source

AGPLO‐Driven Optimisation for Accurate Segmentation of Papillary Thyroid Carcinoma in Medical Imaging

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Papillary Thyroid Carcinoma (PTC) is the most prevalent thyroid malignancy, and accurate lesion segmentation is essential for clinical diagnosis and treatment planning. Metaheuristic optimisation algorithms have been widely used in Multi‐Threshold Image Segmentation (MTIS), but many existing methods suffer from an imbalance between global ...
Jing Ruan, Xiaoxiao Chen, Hanbing Yao, Yujia Xu, Shiqi Xu, Shihao Zhao, Yulun Wu, Yingting Dai, Yubing Chen, Shuqing Ma, Qiongying Zhang, Ying Zhou, Ali Asghar Heidari, Huiling Chen, Yangping Shentu   +14 more
wiley   +1 more source

Artificial Neural Network Surrogate Modelling for Predicting and Optimising CO2 Conversion to Methanol Under Uncertainty

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT This study introduces a data‐driven surrogate modelling framework that combines an artificial neural network (ANN) with particle swarm optimisation (PSO) and a genetic algorithm (GA) to optimise methanol production under uncertain conditions.
Muhammad Zulkefal, Iftikhar Ahmad, Hakan Caliskan, Hiki Hong, Farooq Ahmad   +4 more
wiley   +1 more source

Global Electricity Consumption Estimation Using Particle Swarm Optimization (Pso)

, 2011
{"references": ["E. Assareh, M.A. Behrang., M.R. Assari., A. Ghanbarzadeh. Application\nof particle swarm optimization (PSO) and genetic algorithm (GA)\ntechniques on demand estimation of oil in Iran. Energy 2010; 35: 5223-\n5229.", "A. Azadeh, S.F. Ghaderi, S. Sohrabkhani.
E.Assareh, M.A. Behrang, R. Assareh, N. Hedayat   +3 more
openaire   +1 more source

Low‐Frequency Oscillation Suppression of FDR Time‐Domain Diagnostic Waveforms for Cable Defects Based on Splicing Technology

High Voltage, EarlyView.
ABSTRACT A time domain pulse (TDP) based on the frequency domain reflectometry (FDR) method can be used to diagnose the insulation state of cable defects. However, because of the limitations of the FDR test instrument, the lack of a reflection coefficient spectrum (RCS) in the low‐frequency band (LFB) can result in low frequency oscillation in the time
Jingtao Huang, Kai Zhou, Yefei Xu, Zhirong Tang, Zuoxin Tang, Zhongying Liang, Xianjie Rao   +6 more
wiley   +1 more source

A Comparison of Selected Modifications of the Particle Swarm Optimization Algorithm

Journal of Applied Mathematics, 2014
We compare 27 modifications of the original particle swarm optimization (PSO) algorithm. The analysis evaluated nine basic PSO types, which differ according to the swarm evolution as controlled by various inertia weights and constriction factor.
Michala Jakubcová, Petr Máca, Pavel Pech   +2 more
doaj   +1 more source

Implementasi Algoritma “Particle Swarm Optimization” (PSO) Penjadwalan Belajar Mengajar

IKRA-ITH Informatika : Jurnal Komputer dan Informatika
Penjadwalan belajar mengajar adalah pengaturan perencanaan belajar mengajar yang meliputi matapelajaran, guru, waktu dan tempat pada sekolah. Pada umumnya penjadwalan belajar mengajar disediakandalam sebuah tabel hari dalam seminggu yang terdiri dari slot waktu yang terdapat mata pelajaran, hari, jam,serta pengajar yang sesuai dengan mata pelajaran ...
null Alfina Febiani, null Agung Mulyo Widodo, null Nizirwan Anwar, null Binastya Anggara Sekti, null Alivia Yulfitri   +4 more
openaire   +1 more source