AU - Sheibat Alhamdi, Ahmad
AU - Hosseinzadeh Kashani, Alireza
TI - Random gravitational emulation search algorithm (RGES (in scheduling traveling salesman problem
PT - JOURNAL ARTICLE
TA - IUST
JN - IUST
VO - 29
VI - 1
IP - 1
4099 - http://ijiepr.iust.ac.ir/article-1-795-en.html
4100 - http://ijiepr.iust.ac.ir/article-1-795-en.pdf
SO - IUST 1
ABĀ - this article proposes a new algorithm for finding a good approximate set of non-dominated solutions for solving generalized traveling salesman problem. Random gravitational emulation search algorithm (RGES (is presented for solving traveling salesman problem. The algorithm based on random search concepts, and uses two parameters, speed and force of gravity in physics. The proposed algorithm is compared with genetic algorithm and experimental results show that the proposed algorithm has better performance and less runtime to be answered.
CP - IRAN
IN - Azad University of Firoozkooh
LG - eng
PB - IUST
PG - 103
PT - Research
YR - 2018