Design of Distribution Optimization Application using Firefly Algorithm

Authors

  • Ngarap Imanuel Manik Bina Nusantara University
  • Yunggih Nursalim Bina Nusantara University
  • Derwin Suhartono Bina Nusantara University

DOI:

https://doi.org/10.21512/comtech.v8i3.2567

Keywords:

firefly algorithm, distribution of goods

Abstract

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.

Dimensions

Plum Analytics

Author Biographies

Ngarap Imanuel Manik, Bina Nusantara University

Mathematics and Statistics Department

Yunggih Nursalim, Bina Nusantara University

Mathematics and Statistics Department

Derwin Suhartono, Bina Nusantara University

Computer Science Program

References

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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.

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Published

2017-09-30

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