Estimation of algae growth model parameters by a double layer genetic algorithm

Estimation of algae growth model parameters by a double layer genetic algorithm

This paper presents a double layer genetic algorithm (DLGA) to improve performance of the information-constrained parameter estimations. When a simple genetic algorithm (SGA) fails, a DLGA is applied to the optimization problem in which the initial condition is missing. In this study, a DLGA is spec...

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Bibliographic Details
Main Authors: Artorn Nokkaew, Busayamas Pimpunchat, Charin Modchang, Somkid Amornsamankul, Wannapong Triampo, Darapond Triampo
Other Authors: Mahidol University
Format: Article
Published: 2018
Subjects:
Computer Science
Online Access:https://repository.li.mahidol.ac.th/handle/123456789/14029
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Institution: Mahidol University

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https://repository.li.mahidol.ac.th/handle/123456789/14029

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