An initial framework of hybrid evolutionary algorithm (EA) with Multiple Criteria Decision Making (MCDM): Plant forecasting scenario
Januardi Nasir, Azizul Azhar Ramli, Shahreen binti Kasim · 2017
This paper discusses the research framework related to the scenario of dragon fruit planting prediction based on moisture rainfall and temperature. The modeling that is used is season forecasting index, evolution algorithm called, Fuzzy MCDM and Fuzzy Inference System. The purpose of this paper is to design a research framework that produces a new hybrid algorithm and forecasting prediction. In this framework, this research combines one part of the evolutionary algorithm Grammatical Evolution (using individual representations that can be used to evolve the program) with the Multiple Criteria Decision Making (MCDM) - Fuzzy method resulted from a combination of algorithms and methods formed a new hybrid algorithm. The result of accuracy for forecasting has not implemented. The focus of this research is the scenario of the research framework.