Porcellio scaber algorithm (PSA) for solving constrained optimization problems
Neural and Evolutionary Computing
2017-10-12 v1
Abstract
In this paper, we extend a bio-inspired algorithm called the porcellio scaber algorithm (PSA) to solve constrained optimization problems, including a constrained mixed discrete-continuous nonlinear optimization problem. Our extensive experiment results based on benchmark optimization problems show that the PSA has a better performance than many existing methods or algorithms. The results indicate that the PSA is a promising algorithm for constrained optimization.
Cite
@article{arxiv.1710.04036,
title = {Porcellio scaber algorithm (PSA) for solving constrained optimization problems},
author = {Yinyan Zhang and Shuai Li and Hongliang Guo},
journal= {arXiv preprint arXiv:1710.04036},
year = {2017}
}
Comments
6 pages, 1 figure