ARTIFICIAL BEE COLONY AND SIMULATED ANNEALING HYBRIDIZED ALGORITHM

Published 30 June 2020 •  vol 13  •  no 1  • 


Authors:

 

Emad Mirsadeghi, University of Tehran, Irana
Masoud Shariatpanahi, Faculty of Mechanical Engineering, University of Tehran, Iran

Abstract:

 

Artificial Bee colony and Simulated annealing are two famous Optimization algorithms each of which has some superiorities and weaknesses in the search process. In this investigation, these two algorithms are hybridized to cover each other’s weaknesses. The new algorithm is tested on some benchmark problems. Results indicated that the hybridized algorithm outperforms both of the algorithms in most cases.

Keywords:

 

Optimization; Simulated Anealing; Artificial Bee Colony; Exploration; Exploitation

References:

 

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Citations:

 

APA:
Mirsadeghi, E., & Shariatpanahi, M. (2020). Artificial Bee Colony and Simulated Annealing Hybridized Algorithm. International Journal of Grid and Distributed Computing (IJGDC), ISSN: 2005-4262 (Print); 2207-6379 (Online), NADIA, 13(1), 53-60. doi: 10.33832/ijgdc.2020.13.1.03.

MLA:
Mirsadeghi, Emad, et a. “The Educational Games Application Using Smartphone in Learning Mathematics for Elementary School Students.” International Journal of Grid and Distributed Computing (IJGDC), ISSN: 2005-4262 (Print); 2207-6379 (Online), NADIA, vol. 13, no. 1, 2020, pp. 53-60. IJGDC, http://article.nadiapub.com/IJGDC/vol13_no1/3.html.

IEEE:
[1] E. Mirsadeghi, and M. Shariatpanahi, "The Educational Games Application Using Smartphone in Learning Mathematics for Elementary School Students." International Journal of Grid and Distributed Computing (IJGDC), ISSN: 2005-4262 (Print); 2207-6379 (Online), NADIA, vol. 13, no. 1, pp. 53-60, June 2020.