Title of article :
Random gravitational emulation search algorithm (RGES (in scheduling traveling salesman problem
Author/Authors :
Sheibat Alhamdi Seyed, ahmad Azad University of Tehran(North-Tehran) , Hosseinzadeh Kashani, Alireza Sheibat Alhamdi Seyed
Pages :
10
From page :
103
To page :
112
Abstract :
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.
Keywords :
gravitational emulation search , force of gravity , traveling salesman problem
Journal title :
Astroparticle Physics
Serial Year :
2018
Record number :
2473794
Link To Document :
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