Interior search algorithm (ISA): a novel approach for global optimization

Amir H Gandomi

doi:10.1016/j.isatra.2014.03.018

Interior search algorithm (ISA): a novel approach for global optimization

ISA Trans. 2014 Jul;53(4):1168-83. doi: 10.1016/j.isatra.2014.03.018. Epub 2014 Apr 29.

Author

Amir H Gandomi¹

Affiliation

¹ The University of Akron, OH USA. Electronic address: ag72@uakron.edu.

PMID: 24785823
DOI: 10.1016/j.isatra.2014.03.018

Abstract

This paper presents the interior search algorithm (ISA) as a novel method for solving optimization tasks. The proposed ISA is inspired by interior design and decoration. The algorithm is different from other metaheuristic algorithms and provides new insight for global optimization. The proposed method is verified using some benchmark mathematical and engineering problems commonly used in the area of optimization. ISA results are further compared with well-known optimization algorithms. The results show that the ISA is efficiently capable of solving optimization problems. The proposed algorithm can outperform the other well-known algorithms. Further, the proposed algorithm is very simple and it only has one parameter to tune.

Keywords: Global optimization; Interior search algorithm; Metaheuristic.