Space truss structures’ optimization using metaheuristic optimization algorithms

Nima Khodadadi; Farhad Soleimanian Gharehchopogh; Benyamin Abdollahzadeh; Seyedali Mirjalili

doi:10.1016/B978-0-323-91781-0.00009-0

Space truss structures’ optimization using metaheuristic optimization algorithms

Nima Khodadadi, Farhad Soleimanian Gharehchopogh, Benyamin Abdollahzadeh, Seyedali Mirjalili

Artificial Intelligence Research and Optimization

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

2 Citations (Scopus)

Abstract

Metaheuristic optimization algorithms are popular tools for solving engineering optimization problems. In this chapter, space truss structures are optimized using three population-based metaheuristic algorithms: African Vulture Optimization Algorithm, Artificial Gorilla Troops Optimizer, and Artificial Hummingbird Algorithm. While satisfying several constraints on displacement and stress limits, these three algorithms will minimize the weight of space truss structures. Two well-known space truss benchmarks are used to test the algorithms' capabilities and robustness.

Original language	English
Title of host publication	Comprehensive Metaheuristics
Subtitle of host publication	Algorithms and Applications
Publisher	Elsevier
Pages	163-179
Number of pages	17
ISBN (Electronic)	9780323917810
ISBN (Print)	9780323972673
DOIs	https://doi.org/10.1016/B978-0-323-91781-0.00009-0
Publication status	Published - 1 Jan 2023

Keywords

African Vulture Optimization Algorithm
Artificial Gorilla Troops Optimizer
Artificial Hummingbird Algorithm
Space truss structures

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/B978-0-323-91781-0.00009-0

Cite this

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abstract = "Metaheuristic optimization algorithms are popular tools for solving engineering optimization problems. In this chapter, space truss structures are optimized using three population-based metaheuristic algorithms: African Vulture Optimization Algorithm, Artificial Gorilla Troops Optimizer, and Artificial Hummingbird Algorithm. While satisfying several constraints on displacement and stress limits, these three algorithms will minimize the weight of space truss structures. Two well-known space truss benchmarks are used to test the algorithms' capabilities and robustness.",

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AU - Khodadadi, Nima

AU - Gharehchopogh, Farhad Soleimanian

AU - Abdollahzadeh, Benyamin

AU - Mirjalili, Seyedali

PY - 2023/1/1

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N2 - Metaheuristic optimization algorithms are popular tools for solving engineering optimization problems. In this chapter, space truss structures are optimized using three population-based metaheuristic algorithms: African Vulture Optimization Algorithm, Artificial Gorilla Troops Optimizer, and Artificial Hummingbird Algorithm. While satisfying several constraints on displacement and stress limits, these three algorithms will minimize the weight of space truss structures. Two well-known space truss benchmarks are used to test the algorithms' capabilities and robustness.

AB - Metaheuristic optimization algorithms are popular tools for solving engineering optimization problems. In this chapter, space truss structures are optimized using three population-based metaheuristic algorithms: African Vulture Optimization Algorithm, Artificial Gorilla Troops Optimizer, and Artificial Hummingbird Algorithm. While satisfying several constraints on displacement and stress limits, these three algorithms will minimize the weight of space truss structures. Two well-known space truss benchmarks are used to test the algorithms' capabilities and robustness.

KW - African Vulture Optimization Algorithm

KW - Artificial Gorilla Troops Optimizer

KW - Artificial Hummingbird Algorithm

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BT - Comprehensive Metaheuristics

PB - Elsevier

ER -

Space truss structures’ optimization using metaheuristic optimization algorithms

Abstract

Keywords

UN SDGs

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