Neural population dynamics optimization algorithm: A novel brain-inspired meta-heuristic method-Reference-Cited by-同舟云学术

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Neural population dynamics optimization algorithm: A novel brain-inspired meta-heuristic method

Published:2024-09 Issue: Volume:300 Page:112194
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Ji Junzhong^ORCID,Wu Tongxuan,Yang Cuicui

Publisher

Elsevier BV

Reference61 articles.

1. Meta-heuristic optimization algorithms for solving real-world mechanical engineering design problems: A comprehensive survey, applications, comparative analysis, and results;Abualigah;Neural Comput. Appl.,2022

2. MTDE: An effective multi-trial vector-based differential evolution algorithm and its applications for engineering design problems;Nadimi-Shahraki;Appl. Soft Comput.,2020

3. Social network search for global optimization;Talatahari;IEEE Access,2021

4. Grey wolf optimizer;Mirjalili;Adv. Eng. Softw.,2014

5. Use of a self-adaptive penalty approach for engineering optimization problems;Coello;Comput. Ind.,2000

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