A survey of meta-heuristic algorithms in optimization of space scale expansion DOI
Jinlu Zhang, Lixin Wei,

Zeyin Guo

et al.

Swarm and Evolutionary Computation, Journal Year: 2023, Volume and Issue: 84, P. 101462 - 101462

Published: Dec. 21, 2023

Language: Английский

A Survey on Evolutionary Multiobjective Feature Selection in Classification: Approaches, Applications, and Challenges DOI
Ruwang Jiao, Bach Hoai Nguyen, Bing Xue

et al.

IEEE Transactions on Evolutionary Computation, Journal Year: 2023, Volume and Issue: 28(4), P. 1156 - 1176

Published: July 5, 2023

Maximizing the classification accuracy and minimizing number of selected features are two primary objectives in feature selection, which is inherently a multiobjective task. Multiobjective selection enables us to gain various insights from complex data addition dimensionality reduction improved accuracy, has attracted increasing attention researchers practitioners. Over past decades, significant advancements have been achieved both methodologies applications, but not well summarized discussed. To fill this gap, paper presents broad survey on existing research classification, focusing up-to-date approaches, current challenges, future directions. be specific, we categorize basis different criteria, provide detailed descriptions representative methods each category. Additionally, summarize list successful real-world applications domains, exemplify their practical value demonstrate abilities providing set trade-off subsets meet requirements decision makers. We also discuss key challenges shed lights emerging directions for developments selection.

Language: Английский

Citations

65
Balancing Convergence and Diversity: Gaussian Mixture Models in Adaptive Weight Vector Strategies for Multi-Objective Algorithms DOI
Xuepeng Ren, Maocai Wang,

Guangming Dai

et al.

Information Sciences, Journal Year: 2025, Volume and Issue: 700, P. 121858 - 121858

Published: Jan. 7, 2025

Language: Английский

Citations

2
Boosted local dimensional mutation and all-dimensional neighborhood slime mould algorithm for feature selection DOI

Xinsen Zhou,

Yi Chen, Zongda Wu

et al.

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

Published: June 21, 2023

Language: Английский

Citations

40
An external attention-based feature ranker for large-scale feature selection DOI Creative Commons
Yu Xue, Chenyi Zhang, Ferrante Neri

et al.

Knowledge-Based Systems, Journal Year: 2023, Volume and Issue: 281, P. 111084 - 111084

Published: Oct. 18, 2023

An important problem in data science, feature selection (FS) consists of finding the optimal subset features and eliminating irrelevant or redundant features. The FS task on high-dimensional is challenging for methods currently available literature. To overcome this limitation, we propose a novel method called External Attention-Based Feature Ranker Large-Scale Selection (EAR-FS) whose function based logic an attention mechanism hybrid metaheuristic. EAR-FS comprises three interdependent modules: (1) training module design, multilayer perceptron network endowed with trained to fit dataset; (2) ranking by attention, used updating rank according their importance; 3) generation, two-stage heuristic approach applied determine small number that still guarantee high-accuracy performance. experimental benchmark comprised 26 datasets small, large very sizes, ranging from 15 12,533 Experiments performed against state-of-the-art algorithms show our algorithm efficient at selecting while guaranteeing excellent levels classification accuracy. For instance, demonstrated its capability reduce 11 Tumor dataset 97% maintaining classifier accuracy over 93%.

Language: Английский

Citations

31
Multi-robot path planning using learning-based Artificial Bee Colony algorithm DOI
Yibing Cui, Wei Hu, Ahmed Rahmani

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2023, Volume and Issue: 129, P. 107579 - 107579

Published: Nov. 27, 2023

Language: Английский

Citations

26
A grade-based search adaptive random slime mould optimizer for lupus nephritis image segmentation DOI

Manrong Shi,

Chi Chen, Lei Liu

et al.

Computers in Biology and Medicine, Journal Year: 2023, Volume and Issue: 160, P. 106950 - 106950

Published: April 17, 2023

Language: Английский

Citations

24
A recursive framework for improving the performance of multi-objective differential evolution algorithms for gene selection DOI
Min Li, Yangfan Zhao,

Rutun Cao

et al.

Swarm and Evolutionary Computation, Journal Year: 2024, Volume and Issue: 87, P. 101546 - 101546

Published: April 4, 2024

Language: Английский

Citations

12
A modified competitive swarm optimizer guided by space sampling for large-scale multi-objective optimization DOI
Xiaoxin Gao, Fazhi He, Feng Wang

et al.

Swarm and Evolutionary Computation, Journal Year: 2024, Volume and Issue: 86, P. 101499 - 101499

Published: Feb. 9, 2024

Language: Английский

Citations

9
Information gain-based multi-objective evolutionary algorithm for feature selection DOI Creative Commons
Baohang Zhang, Ziqian Wang, Haotian Li

et al.

Information Sciences, Journal Year: 2024, Volume and Issue: 677, P. 120901 - 120901

Published: June 7, 2024

Language: Английский

Citations

9
Optimizing deep transfer networks with fruit fly optimization for accurate diagnosis of diabetic retinopathy DOI

Maofa Wang,

Qizhou Gong, Huiling Chen

et al.

Applied Soft Computing, Journal Year: 2023, Volume and Issue: 147, P. 110782 - 110782

Published: Sept. 7, 2023

Language: Английский

Citations

23