Authors :
Seth Anim Frimpong; Kwaku Forkuoh Darkwah
Volume/Issue :
Volume 7 - 2022, Issue 12 - December
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3icv6GZ
DOI :
https://doi.org/10.5281/zenodo.7508705
Abstract :
Engineering design problems usually include
large-scale, nonlinear, or constrained optimization
problems. Under a given circumstance, optimization
methods aim to find the optimum solutions that give the
extremum of a function. There are numerous methods
for solving optimization problems. Some of these
problems are solved by heuristic or evolutionary
approaches. Genetic Algorithms (GA) and Particle
Swarm Optimization (PSO) are two of the state-ofart
heuristic optimization techniques. Additionally, one of
the recently developed heuristic population-based
optimization technique is the Sine-Cosine Algorithm.
The pressure vessel design problem has been solved
using various methods in the literature. Fruit Fly
Algorithm gives the best minimum design cost, which is
5896.9489. In this work, the Sine-Cosine Algorithm was
used to optimize the design cost of the pressure vessel
and obtained 5888.5213, which is better than the
literature’s best reported design cost.
Keywords :
Genetic Algorithm, Particle Swarm Optimization, Sine - Cosine Algorithm, Pressure Vessel and American Society of Mechanical Engineers.
Engineering design problems usually include
large-scale, nonlinear, or constrained optimization
problems. Under a given circumstance, optimization
methods aim to find the optimum solutions that give the
extremum of a function. There are numerous methods
for solving optimization problems. Some of these
problems are solved by heuristic or evolutionary
approaches. Genetic Algorithms (GA) and Particle
Swarm Optimization (PSO) are two of the state-ofart
heuristic optimization techniques. Additionally, one of
the recently developed heuristic population-based
optimization technique is the Sine-Cosine Algorithm.
The pressure vessel design problem has been solved
using various methods in the literature. Fruit Fly
Algorithm gives the best minimum design cost, which is
5896.9489. In this work, the Sine-Cosine Algorithm was
used to optimize the design cost of the pressure vessel
and obtained 5888.5213, which is better than the
literature’s best reported design cost.
Keywords :
Genetic Algorithm, Particle Swarm Optimization, Sine - Cosine Algorithm, Pressure Vessel and American Society of Mechanical Engineers.
