Design of Distribution Optimization Application using Firefly Algorithm

Ngarap Imanuel Manik, Yunggih Nursalim, Derwin Suhartono


The goal of this research was to optimize the distribution of goods and computerize. The method consisted of problem identification, analysis, implementation, and evaluation. Firefly algorithm was used as a method for optimizing the distribution of goods. The results achieved are the shortest distribution route of goods in accordance with the existing constraints and low cost of distribution. It can be concluded that the research can beused too ptimizethe distribution of goods and to
minimize distributioncost.


firefly algorithm, distribution of goods

Full Text:



Fister, I., Fister Jr, I., Yang, X. S., & Brest, J. (2013). A comprehensive review of firefly algorithms. Swarm and Evolutionary Computation, 13, 34-46.

Jati, G. K., Manurung, R., & Suyanto, S. (2013). Discrete firefly algorithm for traveling salesman problem: A new movement scheme. Swarm Intelligence and Bio-Inspired Computation, 13, 295-312.

Johari, N. F., Zain, A. M., Mustaffa, N. H., & Udin, A. (2013). Firefly algorithm for optimization problem. Applied Mechanics and Materials, 421, 512-517.

Onwubiko, C. (2000). Introduction to engineering design optimization. Upper Saddle River, NJ: Prentice Hall.

Pan, F., Ye, C., Wang, K., & Cao, J. (2013). Research on the vehicle routing problem with time windows using firefly algorithm. Journal of Computers, 8(9), 2256-2261.

Pornsing, C. (2014). A particle swarm optimization for the vehicle routing problem (Dissertations). University of Rhode Island.

Sayadi, M. K., Hafezalkotob, A., & Naini, S. G. (2013). Firefly-inspired algorithm for discrete optimization problems: An application to manufacturing cell formation. Journal of Manufacturing Systems, 32, 78-84

Yang, X. S. (2009). Firefly algorithms for multimodal optimization. In International symposium on stochastic algorithms (pp. 169-178). Springer, Berlin, Heidelberg.

Yang, X. S. (2010). Engineering optimization: An introduction with meta heuristic applications. New Jersey: John Wiley & Sons,Inc.

Yesodha, R., & Amudha, T. (2015). A study on bio-inspired meta heuristics for solving vehicle routing problem. Indian Journal of Science and Technology, 8(25), 85-93.



  • There are currently no refbacks.

Public Visitor Statistics:ComTech stats
Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.