Data Assimilation of a Biological Model Using Genetic Algorithms

In this paper the calibration of well known biological system namely Lotka-Volterra model is done using Genetic Algorithms. The problem of parameter estimation is formulated as an optimization problem, which is highly non linearand multimodal in nature. Binary Genetic Algorithms as well as Real Gene...

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Bibliographic Details
Published inApplications and Innovations in Intelligent Systems XIV pp. 238 - 242
Main Authors Thakur, Manoj, Deep, Kusum
Format Book Chapter
LanguageEnglish
Published United Kingdom Springer London, Limited 2006
Springer London
Subjects
Artificial intelligence
Binary Genetic Algorithm
Data Assimilation
Genetic Algorithm
Hybrid Evolutionary Algorithm
Multimodal Optimization Problem
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ISBN9781846286650
1846286654
DOI10.1007/978-1-84628-666-7_20

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Summary:In this paper the calibration of well known biological system namely Lotka-Volterra model is done using Genetic Algorithms. The problem of parameter estimation is formulated as an optimization problem, which is highly non linearand multimodal in nature. Binary Genetic Algorithms as well as Real Genetic Algorithms have been used to obtain the results.The comparative study showsthat the Real Genetic Algorithm is more promising.
ISBN:9781846286650
1846286654
DOI:10.1007/978-1-84628-666-7_20