Space truss structures’ optimization using metaheuristic optimization algorithms

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

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Citation (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 languageEnglish
Title of host publicationComprehensive Metaheuristics
Subtitle of host publicationAlgorithms and Applications
PublisherElsevier
Pages163-179
Number of pages17
ISBN (Electronic)9780323917810
ISBN (Print)9780323972673
DOIs
Publication statusPublished - 1 Jan 2023

Keywords

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

Cite this