Parameter-less Pareto local search for multi-objective neural architecture search with the Interleaved Multi-start Scheme-Reference-Cited by-同舟云学术

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Parameter-less Pareto local search for multi-objective neural architecture search with the Interleaved Multi-start Scheme

Published:2024-06 Issue: Volume:87 Page:101573
ISSN:2210-6502
Container-title:Swarm and Evolutionary Computation
language:en
Short-container-title:Swarm and Evolutionary Computation

Author:

Phan Quan Minh,Luong Ngoc Hoang^ORCID

Publisher

Elsevier BV

Reference54 articles.

1. A survey on deep learning and its applications;Dong;Comput. Sci. Rev.,2021

2. A review of neural architecture search;Baymurzina;Neurocomputing,2022

3. Neural architecture search: A survey;Elsken;J. Mach. Learn. Res.,2019

4. Neural architecture search as multiobjective optimization benchmarks: Problem formulation and performance assessment;Lu;IEEE Trans. Evol. Comput.,2022

5. Multi-objective evolutionary search of compact convolutional neural networks with training-free estimation;Huang,2023

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