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.
|Journal||MATEC Web of Conferences|
|Publication status||Published - 5 Dec 2017|
|Event||3rd International Conference on Mechanical, Electronic and Information Technology Engineering, ICMITE 2017 - Chengdu, China|
Duration: 16 Dec 2017 → 17 Dec 2017
ASJC Scopus subject areas
- Materials Science(all)