Abstract
This research critically compares the water evaporation optimization metaheuristic, the tug-of-war optimization metaheuristic, the vibration particle system metaheuristic, the cuckoo search metaheuristic, and the imperialist competition algorithm for truss sizing optimization problems which includes node displacements and member stress constraints. The evaluation is based on benchmarks with different design variables and static indeterminacy. A strict statistical study was conducted on a large sample size and events occurring through the optimization exercise was observed. This shows and explains the convergence performance of each algorithm. The results show that Cuckoo Search is the best metaheuristic in terms of robustness, performance, and ability to scale.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Nemhauser G, Wolsey L (1988) Integer and combinatorial optimization. https://orcid.org/10.1002/9781118627372
Feury C, Geradin M (1978) Optimality criteria and mathematical programming in structural weight optimization. Comput Struct 8:7–17. https://orcid.org/10.1016/0045-7949(78)90155-4
Kaveh A, Bakhshpoori T (2016). Water evaporation optimization: a novel physically inspired optimization algorithm. Comput Struct 167:69–85. https://doi.org/10.1016/j.compstruc.2016.01.008
Kaveh A, Bakhshpoori T (2019) Tug of war optimization algorithm. Metaheuristics: Outlines, MATLAB Codes and Examples, pp 123–135. https://doi.org/10.1007/978-3-030-04067-3_11
Kaveh A, Ilchi Ghazaan M (2017) A new meta-heuristic algorithm: vibrating particles system. Sci. Iranica 24(2):551–566. https://doi.org/10.24200/sci.2017.2417
Yang X (2010) Nature-inspired metaheuristic algorithms. Luniver Press, United Kingdom
Atashpaz-Gargari E, Lucas C (2017) Imperialist competitive algorithm: an algorithm for optimization inspired by imperialistic competition. In: 2007 IEEE congress on evolutionary computation. https://doi.org/10.1109/cec.2007.4425083
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Akanksh, K., Rao, B.N. (2022). Evaluation of Population-Based Metaheuristic Methods for Optimization of Truss Structures. In: Tadepalli, T., Narayanamurthy, V. (eds) Recent Advances in Applied Mechanics. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-9539-1_42
Download citation
DOI: https://doi.org/10.1007/978-981-16-9539-1_42
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-9538-4
Online ISBN: 978-981-16-9539-1
eBook Packages: EngineeringEngineering (R0)