APPLICATION OF GENETIC ALGORITHM METHOD ON LINEAR CAUSAL FORECASTING OF FLOWER COMMODITY PRODUCTION

Bahar, Emirul (2008) APPLICATION OF GENETIC ALGORITHM METHOD ON LINEAR CAUSAL FORECASTING OF FLOWER COMMODITY PRODUCTION. Proceeding, International Seminar on Industrial Engineering and Management. ISSN 1978-774X

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Abstract

Forecasting activities is very used widely in industry fields, manufacturing processes, for instance supply chain, qualily controII and so on. In thCs paper we try to present using one of Genetic Algorithms for finding the best mfficienfo fl inear causal brecasfing model, with using Bness function as a main teal te find that coefficient. The resutts are determined from case study on production of flower commodity, which is especially use Canonical Genetic Algorithms (CGA) as an alternative far flndlng forecasting accumfely through heurisfic coefficient generating

Item Type: Article
Uncontrolled Keywords: Genetic algorithms; linear casual forecasting model;
Subjects: A General Works > AI Indexes (General)
Divisions: Fakultas Teknologi Industri > Program Studi Teknik Informatika
Depositing User: Mr Reza Chandra
Date Deposited: 27 Feb 2014 07:42
Last Modified: 27 Feb 2014 07:42
URI: http://repository.gunadarma.ac.id/id/eprint/218

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