# ARTIFICIAL BEE COLONY AND SIMULATED ANNEALING HYBRIDIZED ALGORITHM

## Authors:

**Emad Mirsadeghi***, University of Tehran, Irana*

**Masoud Shariatpanahi***, Faculty of Mechanical Engineering, University of Tehran, Iran*

**Emad Mirsadeghi***, University of Tehran, Irana*

**Masoud Shariatpanahi***, Faculty of Mechanical Engineering, University of Tehran, Iran*

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.

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

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**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.