Geometric mean optimizer for achieving efficiency in truss structural design-Reference-Cited by-同舟云学术

Geometric mean optimizer for achieving efficiency in truss structural design

Published:2024-01-06 Issue:4 Volume:17 Page:2453-2466
ISSN:1864-5909
Container-title:Evolutionary Intelligence
language:en
Short-container-title:Evol. Intel.

Author:

Pham Vu Hong Son,Nguyen Dang Nghiep Trinh,Nguyen Van Nam

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s12065-023-00895-3.pdf

Reference41 articles.

1. Price KV (1996) Differential evolution: a fast and simple numerical optimizer. In: Proceedings of North American fuzzy information processing. IEEE

2. Mirjalili S, Mirjalili SM, Hatamlou A (2016) Multi-verse optimizer: a nature-inspired algorithm for global optimization. Neural Comput Appl 27(2):495–513

3. Mirjalili SZ et al (2018) Grasshopper optimization algorithm for multi-objective optimization problems. Appl Intell 48:805–820

4. Cheng M-Y, Prayogo D (2014) Symbiotic organisms search: a new metaheuristic optimization algorithm. Comput Struct 139:98–112

5. Kaveh A (2014) Advances in metaheuristic algorithms for optimal design of structures. Springer

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