A multi-objective evolutionary algorithm with interval based initialization and self-adaptive crossover operator for large-scale feature selection in classification

Applied Soft Computing, Journal Year: 2022, Volume and Issue: 127, P. 109420 - 109420

Published: July 31, 2022

Language: Английский

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Multiclass skin lesion localization and classification using deep learning based features fusion and selection framework for smart healthcare

Neural Networks, Journal Year: 2023, Volume and Issue: 160, P. 238 - 258

Published: Jan. 25, 2023

Language: Английский

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SemiACO: A semi-supervised feature selection based on ant colony optimization

Expert Systems with Applications, Journal Year: 2022, Volume and Issue: 214, P. 119130 - 119130

Published: Oct. 27, 2022

Language: Английский

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Multiple strategies based Grey Wolf Optimizer for feature selection in performance evaluation of open-ended funds

Swarm and Evolutionary Computation, Journal Year: 2024, Volume and Issue: 86, P. 101518 - 101518

Published: Feb. 24, 2024

Language: Английский

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A comparative analysis of meta-heuristic optimization algorithms for feature selection on ML-based classification of heart-related diseases

The Journal of Supercomputing, Journal Year: 2023, Volume and Issue: 79(11), P. 11797 - 11826

Published: March 3, 2023

Language: Английский

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A comparative analysis of feature selection models for spatial analysis of floods using hybrid metaheuristic and machine learning models

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(23), P. 33495 - 33514

Published: April 29, 2024

Language: Английский

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A feature selection method based on the Golden Jackal-Grey Wolf Hybrid Optimization Algorithm

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(1), P. e0295579 - e0295579

Published: Jan. 2, 2024

This paper proposes a feature selection method based on hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). The primary objective of this is to create an effective data dimensionality reduction technique for eliminating redundant, irrelevant, noisy features within high-dimensional datasets. Drawing inspiration from Chinese idiom “Chai Lang Hu Bao,” mechanisms, cooperative behaviors observed in natural animal populations, we amalgamate GWO algorithm, Lagrange interpolation method, GJO propose multi-strategy fusion GJO-GWO algorithm. In Case 1, addressed eight complex benchmark functions. 2, was utilized tackle ten problems. Experimental results consistently demonstrate under identical experimental conditions, whether solving functions or addressing problems, exhibits smaller means, lower standard deviations, higher classification accuracy, reduced execution times. These findings affirm superior performance, stability

Language: Английский

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Location and path planning for urban emergency rescue by a hybrid clustering and ant colony algorithm approach

Applied Soft Computing, Journal Year: 2023, Volume and Issue: 147, P. 110783 - 110783

Published: Aug. 26, 2023

Language: Английский

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Multi-objective binary grey wolf optimization for feature selection based on guided mutation strategy

Applied Soft Computing, Journal Year: 2023, Volume and Issue: 145, P. 110558 - 110558

Published: June 19, 2023

Language: Английский

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Exploring Ant Colony Optimization for Feature Selection: A Comprehensive Review

Springer tracts in nature-inspired computing, Journal Year: 2024, Volume and Issue: unknown, P. 45 - 60

Published: Jan. 1, 2024

Language: Английский

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