Quasi-random Fractal Search (QRFS): A dynamic metaheuristic with sigmoid population decrement for global optimization-Reference-Cited by-同舟云学术

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Quasi-random Fractal Search (QRFS): A dynamic metaheuristic with sigmoid population decrement for global optimization

Published:2024-11 Issue: Volume:254 Page:124400
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Beltran Luis A.^ORCID,Navarro Mario A.^ORCID,Oliva Diego^ORCID,Campos-Peña Diego^ORCID,Ramos-Frutos Jorge Armando^ORCID,Zapotecas-Martínez Saúl^ORCID

Publisher

Elsevier BV

Reference71 articles.

1. An improved opposition-based sine cosine algorithm for global optimization;Abd Elaziz;Expert Systems with Applications,2017

2. Nutcracker optimizer: A novel nature-inspired metaheuristic algorithm for global optimization and engineering design problems;Abdel-Basset;Knowledge-Based Systems,2023

3. African vultures optimization algorithm: A new nature-inspired metaheuristic algorithm for global optimization problems;Abdollahzadeh;Computers & Industrial Engineering,2021

4. The non-monopolize search (NO): a novel single-based local search optimization algorithm;Abualigah;Neural Computing and Applications,2024

5. Influence of initializing Krill Herd algorithm with low-discrepancy sequences;Agushaka;IEEE Access,2020

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