Porcellio scaber algorithm (PSA) for solving constrained optimization problems
October 11, 2017 ยท Declared Dead ยท ๐ arXiv.org
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Authors
Yinyan Zhang, Shuai Li, Hongliang Guo
arXiv ID
1710.04036
Category
cs.NE: Neural & Evolutionary
Citations
6
Venue
arXiv.org
Last Checked
4 months ago
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.
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