Optimisasi Perencanaan Produksi Pupuk Menggunakan Firefly Algorithm
AbstractIn Indonesia, there are many farmers as a livelihood because of fertile soil for agriculture and the demand for food. Production planning is the important part of managing cost spent by the company. In production planning, there are many constraints which have to be satisfied such as the number of productions, the number of workers, and the number of inventory. In previous research, constrained optimizations have been solved by exact method or heuristic method. In this research, production planning optimization will be solved by Firefly Algorithm (FA). FA works as a behavior of Firefly. One of firefly behavior used is less bright firefly will move toward brighter firefly. The simulation results show that FA method can find an approaching optimal solution of production planning like production cost, worker cost, and inventory holding cost satisfying the constraints of the number of productions, workers, and inventory.
Hillier, F.S., Lieberman, G.J., Introduction to Operations Research. Mc Graw Hill. (2001)
Lukasik, S., Zak, S., Firefly Algorithm for Continuous Constrained Optimization Tasks.
Rahmalia, D., Estimation of Exponential Smoothing Parameter on Pesticide Characteristic Forecast Using Ant Colony Optimization (ACO), Eksakta: Jurnal Ilmu-Ilmu MIPA Vol. 18 No. 1 pp. 56-63 (2018)
Rahmalia, D., Particle Swarm Optimization-Genetic Algorithm (PSOGA) on Linear Transportation Problem. AIP Conference Proceeding. (2017) (020030)1-12. Surabaya.
Rahmalia, D., Perbandingan Metode Analitik dan Metode Heuristik pada Optimisasi Masalah Transportasi Distribusi Semen. Prosiding Seminar Nasional Matematika dan Pembelajarannya 2016. (2016) 1164-1172. 13 Agustus, Malang.
Rahmalia, D., Herlambang, T., Optimisasi Masalah Transportasi Distribusi Semen Menggunakan Algoritma Artificial Bee Colony, Multitek Indonesia Vol. 11 No. 2 (2018)
Rao, S.S., Engineering Optimization: Theory and Practice. John Wiley and Sons. (2009)
Taha, H.A., Operation Research: An Introduction. Pearson Prentice Hall. (2007)
Techaroongruengkij, B., Prakasvudhisarn, C., Yenradee, P., A PSO Based Goal Programming Approach to Aggregate Planning of Production, Workforce, and Pricing Strategy
Udaiyakumar, K.C, Chandrasekaran, M., Application of Firefly Algorithm in Job Shop Scheduling Problem for Minimization of Makespan, Procedia Engineering 97(2014)1798-1807
Yang, X.S., Cui, Z., Xiao, R., Swarm Intelligence and Bio-Inspired Computation. Elsevier, Inc. (2013)
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