TY - JOUR
T1 - Solving quadratic assignment problem by symbiotic organisms search algorithm
AU - Abdel-Basset, Mohamed
AU - Rashad, Heba
AU - Zhou, Yongquan
N1 - Publisher Copyright:
Copyright © 2019 Inderscience Enterprises Ltd.
PY - 2019/5/30
Y1 - 2019/5/30
N2 - 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.
AB - 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.
KW - Combinatorial optimisation
KW - Optimisation
KW - Quadratic assignment problem
KW - SOS
KW - Symbiotic organisms search algorithm
UR - http://www.scopus.com/inward/record.url?scp=85066781480&partnerID=8YFLogxK
U2 - 10.1504/IJIE.2019.100035
DO - 10.1504/IJIE.2019.100035
M3 - Article
AN - SCOPUS:85066781480
SN - 1745-3232
VL - 6
SP - 77
EP - 91
JO - International Journal of Intelligent Enterprise
JF - International Journal of Intelligent Enterprise
IS - 1
ER -