Random gravitational emulation search algorithm (RGES (in scheduling traveling salesman problem

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Sheibat Alhamdy Seyed Ahmad; Hosseinzadeh Kashani Alireza

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Journal Paper

Paper Information

Journal: International Journal of Industrial Engineering & Production Research Year:2018 | Volume:29 | Issue:1 Page(s): 103-112

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Title

Random gravitational emulation search algorithm (RGES (in scheduling traveling salesman problem

Author(s)

Sheibat Alhamdy Seyed Ahmad | Hosseinzadeh Kashani Alireza | Issue Writer Certificate

Keywords

gravitational emulation search

force of gravity

traveling salesman problem

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.

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APA: Copy

Sheibat Alhamdy, Seyed Ahmad, & Hosseinzadeh Kashani, Alireza. (2018). Random gravitational emulation search algorithm (RGES (in scheduling traveling salesman problem. INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING AND PRODUCTION RESEARCH (IJIE) (ENGLISH), 29(1), 103-112. SID. https://sid.ir/paper/736914/en

Vancouver: Copy

Sheibat Alhamdy Seyed Ahmad, Hosseinzadeh Kashani Alireza. Random gravitational emulation search algorithm (RGES (in scheduling traveling salesman problem. INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING AND PRODUCTION RESEARCH (IJIE) (ENGLISH)[Internet]. 2018;29(1):103-112. Available from: https://sid.ir/paper/736914/en

IEEE: Copy

Seyed Ahmad Sheibat Alhamdy, and Alireza Hosseinzadeh Kashani, “Random gravitational emulation search algorithm (RGES (in scheduling traveling salesman problem,” INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING AND PRODUCTION RESEARCH (IJIE) (ENGLISH), vol. 29, no. 1, pp. 103–112, 2018, [Online]. Available: https://sid.ir/paper/736914/en

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