RIME: A physics-based optimization

Neurocomputing, Journal Year: 2023, Volume and Issue: 532, P. 183 - 214

Published: Feb. 13, 2023

Language: Английский

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Multi-strategy competitive-cooperative co-evolutionary algorithm and its application

Information Sciences, Journal Year: 2023, Volume and Issue: 635, P. 328 - 344

Published: March 30, 2023

Language: Английский

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An enhanced distributed differential evolution algorithm for portfolio optimization problems

Engineering Applications of Artificial Intelligence, Journal Year: 2023, Volume and Issue: 121, P. 106004 - 106004

Published: Feb. 25, 2023

Language: Английский

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Hierarchical Harris hawks optimizer for feature selection

Journal of Advanced Research, Journal Year: 2023, Volume and Issue: 53, P. 261 - 278

Published: Jan. 20, 2023

Feature selection is a typical NP-hard problem. The main methods include filter, wrapper-based, and embedded methods. Because of its characteristics, the wrapper method must swarm intelligence algorithm, performance in feature closely related to algorithm's quality. Therefore, it essential choose design suitable algorithm improve based on wrapper. Harris hawks optimization (HHO) superb approach that has just been introduced. It high convergence rate powerful global search capability but an unsatisfactory effect dimensional problems or complex problems. we introduced hierarchy HHO's ability deal with selection. To make obtain good accuracy fewer features run faster selection, improved HHO named EHHO. On 30 UCI datasets, (EHHO) can achieve very classification less running time features. We first conducted extensive experiments 23 classical benchmark functions compared EHHO many state-of-the-art metaheuristic algorithms. Then transform into binary (bEHHO) through conversion function verify extraction data sets. Experiments show better speed minimum than other peers. At same time, HHO, significantly weakness dealing functions. Moreover, datasets repository, bEHHO comparative Compared original bHHO, excellent also bHHO time.

Language: Английский

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Random following ant colony optimization: Continuous and binary variants for global optimization and feature selection

Applied Soft Computing, Journal Year: 2023, Volume and Issue: 144, P. 110513 - 110513

Published: June 15, 2023

Language: Английский

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Artemisinin optimization based on malaria therapy: Algorithm and applications to medical image segmentation

Displays, Journal Year: 2024, Volume and Issue: 84, P. 102740 - 102740

Published: May 4, 2024

Language: Английский

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Fault diagnosis using variational autoencoder GAN and focal loss CNN under unbalanced data

Structural Health Monitoring, Journal Year: 2024, Volume and Issue: unknown

Published: July 24, 2024

For the poor model generalization and low diagnostic efficiency of fault diagnosis under imbalanced distributions, a novel method using variational autoencoder generation adversarial network improved convolutional neural network, named VGAIC-FDM, is proposed in this paper. First, to capture local features vibration signals, continuous wavelet transform employed convert original one-dimensional signals into time–frequency images. Second, for data dimensionality reduction simplification, images are processed grayscale generate single-channel Then, sample augmentation performed on balance dataset by network. Finally, generated fused trained focus-loss-optimized CNN classifier achieve unbalanced conditions. The experimental results show that VGAIC-FDM effectively captures potential spatial distribution real samples alleviates impact caused inconsistent difficulty classification. As result, it enhances performance when dealing with datasets, leading higher accuracy F1-score values.

Language: Английский

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Multi-objective RIME algorithm-based techno economic analysis for security constraints load dispatch and power flow including uncertainties model of hybrid power systems

Energy Reports, Journal Year: 2024, Volume and Issue: 11, P. 4423 - 4451

Published: April 18, 2024

In recent times, the landscape of power systems has undergone significant evolution, particularly with integration diverse renewable energy sources (RESs). This advancement presents an invaluable opportunity to enhance efficiency in modern grid, primarily by bolstering role stochastic RESs. The challenge lies optimal flow (OPF), a multifaceted and non-linear optimization that grows more complex inclusion RESs aims optimize allocation system resources minimize operational cost while maintaining stability security system. Addressing this, current study introduces innovative approach, Multi-Objective RIME (MORIME) algorithm. Drawing inspiration from physical phenomenon rime-ice, called RIME, MORIME seeks effectively tackle OPF issues. algorithm enhances solution accuracy smartly dividing non-dominated sorting crowding distance mechanism. proposed model incorporates three types RESs: solar photovoltaic, wind small-scale hydropower units. While uncertainties speed irradiation are managed through Monte Carlo simulations, small hydro unit is considered constant source. efficacy tested on IEEE 30 bus results indicate method identifies for multi-objective problem satisfying constraints, thereby proving its effectiveness superiority over MOWOA, MOGWO, MOALO, MOMRFO MOAGDE terms Hyper Volume (HV) reciprocal Pareto Sets Proximity (1/PSP) metrices. source code available at: https://github.com/kanak02/MORIME

Language: Английский

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A self-adaptive quantum equilibrium optimizer with artificial bee colony for feature selection

Computers in Biology and Medicine, Journal Year: 2023, Volume and Issue: 153, P. 106520 - 106520

Published: Jan. 2, 2023

Language: Английский

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Boosted local dimensional mutation and all-dimensional neighborhood slime mould algorithm for feature selection

Neurocomputing, Journal Year: 2023, Volume and Issue: 551, P. 126467 - 126467

Published: June 21, 2023

Language: Английский

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