Size optimization of planar truss systems using the modified salp swarm algorithm

This supplemental material presents the detailed results of a journal paper titled "Size optimization of planar truss systems using modified salp-swarm algorithm" accepted to be published in Engineering Optimization. The abstract of the paper is provided below: This work evaluates the Salp Swarm Algorithms' (SSA) performance for truss system optimization problems and presents a novel method called the Modified Salp Swarm Algorithm (MSSA). The classical SSA and MSSA are compared to the best results in the literature for five truss structures, employing discrete and continuous variables for size optimization (two for each), and one through size and shape optimization. Although the SSA performs poorly and has convergence issues in initial random solutions, it reaches comparable solutions to previously published results, particularly in continuous problems. Contrarily, the MSSA achieves the best solutions for two discrete problems and is relatively close to the best results in the reference literature on continuous problems. Moreover, the MSSA convergence curves exhibit a modest increase in convergence rates, especially for discrete problems. It is envisaged that the findings will contribute to improving solution performance, convergence speed, and security for future real-world applications.
To cite the main article: Onur Altay, Oguzhan Cetindemir & Ibrahim Aydogdu (2023): Size optimization of planar truss systems using the modified salp swarm algorithm, Engineering Optimization, DOI: 10.1080/0305215X.2022.2160449
Main article link: https://doi.org/10.1080/0305215X.2022.2160449