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

摘要

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