Title: Solving quadratic assignment problem by symbiotic organisms search algorithm

Authors: Mohamed Abdel-Basset; Heba Rashad; Yongquan Zhou

Addresses: Department of Operations Research, Faculty of Computers and Informatics, Zagazig University, El-Zera Square, Zagazig, Sharqiyah 44519, Egypt ' Department of Operations Research, Faculty of Computers and Informatics, Zagazig University, El-Zera Square, Zagazig, Sharqiyah 44519, Egypt ' College of Information Science and Engineering, Guangxi University for Nationalities, Nanning 530006, China

Abstract: Symbiotic organisms search algorithm (SOS) is a new meta-heuristic algorithm based on the symbiotic relationship between the biological, which was proposed in recent years. In this paper, we propose new robust and powerful metaheuristic algorithm called an improved version of symbiotic organisms search algorithm integrated with construction algorithm and mutation operators (ISOS) to solve quadratic assignment problems. The quadratic assignment problem (QAP) considers NP-hard combinatorial optimisation problem and has various practical applications. A set of benchmarks from QAPLIB Library are employed to evaluate the performance of proposed algorithm. ISOS is compared to several algorithms in the literature. The comparisons show that the proposed algorithm shows reliable, efficient and promising results.

Keywords: symbiotic organisms search algorithm; SOS; optimisation; quadratic assignment problem; combinatorial optimisation.

DOI: 10.1504/IJIE.2019.100035

International Journal of Intelligent Enterprise, 2019 Vol.6 No.1, pp.77 - 91

Received: 27 Jun 2018
Accepted: 05 Jul 2018
Published online: 04 Jun 2019 *

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