Porcellio scaber algorithm (PSA) for solving constrained optimization problems

Yinyan Zhang, Shuai Li, Hongliang Guo

Research output: Journal article publicationConference articleAcademic researchpeer-review

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.

Original languageEnglish
Article number00033
JournalMATEC Web of Conferences
Volume139
DOIs
Publication statusPublished - 5 Dec 2017
Event3rd International Conference on Mechanical, Electronic and Information Technology Engineering, ICMITE 2017 - Chengdu, China
Duration: 16 Dec 201717 Dec 2017

ASJC Scopus subject areas

  • Chemistry(all)
  • Materials Science(all)
  • Engineering(all)

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