VISTA: A Variable Length Genetic Algorithm and LSTM-Based Surrogate Assisted Ensemble Selection algorithm in Multiple Layers Ensemble System-Reference-Cited by-同舟云学术

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VISTA: A Variable Length Genetic Algorithm and LSTM-Based Surrogate Assisted Ensemble Selection algorithm in Multiple Layers Ensemble System

Published:2024-06-30 Issue: Volume:15 Page:1-9
ISSN:
Container-title:2024 IEEE Congress on Evolutionary Computation (CEC)
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Author:

Han Kate¹,Nguyen Truong Thanh²,Vu Viet Anh³,Liew Alan Wee-Chung⁴,Dang Truong⁵,Nguyen Tien Thanh⁵

Affiliation:

1. Salford Business School, University of Salford,Manchester,UK

2. School of Computing, Robert Gordon University,Aberdeen,UK

3. School of ICT, Hanoi University of Science and Technology,Hanoi,Vietnam

4. School of ICT, Griffith University Gold,Coast,Australia

5. Robert Gordon University,National Subsea Center,Aberdeen,UK

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609966/10611750/10612029.pdf?arnumber=10612029

Reference32 articles.

1. Do we need hundreds of classifiers to solve real world classification problems?;Fernández-Delgado;J. Mach. Learn. Res.,2014

2. Deep Forest: Towards An Alternative to Deep Neural Networks

3. Evolving interval-based representation for multiple classifier fusion

4. Multi-layer heterogeneous ensemble with classifier and feature selection

5. A review of surrogate-assisted evolutionary algorithms for expensive optimization problems

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