@article{Jamaluddin_Mahmud_Muhammat Pazil_Ab Raji_Ghazali_Jusoh_2017, place={Arau, Malaysia}, title={Particle Swarm Optimization: Optimizing Transportation Cost Problem}, volume={2}, url={https://jcrinn.com/index.php/jcrinn/article/view/34}, abstractNote={<div><em>Transportation is literally</em></div> <div><em>defined as an act, process or instance of transporting or being</em></div> <div><em>transported. Many business organizations are relying on transportation in running their</em></div> <div><em>business. In these years, the transportation cost has increase from time to time and become a</em></div> <div><em>problem t</em></div> <div><em>o the organization to maintain the cost and profit. To overcome this problem, the</em></div> <div><em>optimization of cost is applied in order to make sure the business is in the right financial</em></div> <div><em>condition by finding the minimum cost of transporting a single commodity from a g</em></div> <div><em>iven number</em></div> <div><em>of sources to a given number of destinations. In this study the modified Particle Swarm</em></div> <div><em>Optimization is used to solve the Transportation Cost Problem (TCP) in finding the optimal</em></div> <div><em>solution of the amount of product transported with the minimum co</em></div> <div><em>st. The model of nonlinear</em></div> <div><em>cost function had been used throughout this study. As a result, the minimum cost of</em></div> <div><em>transportation is 340.69 with the amount of product transported 17, 15, 32, 16, and 20</em></div> <div><em>following the arc A(x)={(1,5), (2,4), (2,6), (3,4), (3,5)}</em></div> <div><em>respectively.</em></div>}, number={1}, journal={Journal of Computing Research and Innovation}, author={Jamaluddin, Siti Hafawati and Mahmud, Norwaziah and Muhammat Pazil, Nur Syuhada and Ab Raji, Nurul Hidayah and Ghazali, Nurulain and Jusoh, Nordianah}, year={2017}, month={Mar.}, pages={77–82} }