Particle Swarm Optimization: Optimizing Transportation Cost Problem


  • Siti Hafawati Jamaluddin
  • Norwaziah Mahmud
  • Nur Syuhada Muhammat Pazil
  • Nurul Hidayah Ab Raji
  • Nurulain Ghazali
  • Nordianah Jusoh


Transportation Cost Problem, Particle Swarm Optimization, Optimization


Transportation is literally defined as an act, process or instance of transporting or being
transported. Many business organizations are relying on transportation in running their
business. In these years, the transportation cost has increase from time to time and become a
problem to the organization to maintain the cost and profit. To overcome this problem, the
optimization of cost is applied in order to make sure the business is in the right financial
condition by finding the minimum cost of transporting a single commodity from a given number
of sources to a given number of destinations. In this study the modified Particle Swarm
Optimization is used to solve the Transportation Cost Problem (TCP) in finding the optimal
solution of the amount of product transported with the minimum cost. The model of nonlinear
cost function had been used throughout this study. As a result, the minimum cost of
transportation is 340.69 with the amount of product transported 17, 15, 32, 16, and 20
following the arc A(x)={(1,5), (2,4), (2,6), (3,4), (3,5)} respectively.


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How to Cite

Jamaluddin, S. H., Mahmud, N., Muhammat Pazil, N. S., Ab Raji, N. H., Ghazali, N., & Jusoh, N. (2018). Particle Swarm Optimization: Optimizing Transportation Cost Problem. Journal of Computing Research and Innovation, 2(1), 77-82. Retrieved from



General Computing