Genetic Algorithm and Particle Swarm Optimization on Fertilizer Production Planning Optimization

Yusak, Muhammad Anshori and Herlambang, Teguh and Rahmalia, Dinita (2019) Genetic Algorithm and Particle Swarm Optimization on Fertilizer Production Planning Optimization. In: ICBLP 2019, 13-15 February 2019, Sidoarjo, Indonesia.

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Abstract

Production planning is the important part of controlling the cost spent by the company. In this research, production planning model is linear integer programming model with constraints : production, worker, and inventory. Linear integer programming as optimization problem can be solved by exact method like branch and bound, cutting plane or heuristic method. In this paper, we use heurisitic like Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) for solving production planning optimization in approaching. GA uses natural selection process of chromosomes while PSO is inspired by the behavior of flocks of birds, swarm of insects, or school of fish. The simulations show that both GA and PSO can find optimal solution of fertilizer production planning in approaching.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: linear integer programming constrained optimization genetic algorithm particle swarm optimization production planning optimization
Subjects: H Social Sciences > H Social Sciences (General)
Depositing User: EAI Editor IV
Date Deposited: 30 Jul 2021 08:54
Last Modified: 30 Jul 2021 08:54
URI: https://eprints.eudl.eu/id/eprint/5362

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