Awanis, Azizan (2012) Application of hybrid evolutionary algorithm (HEA) to discover the best rule set to explain dissolved oxygen (D.O.) dynamics in 2 freshwater lakes / Awanis Azizan. Masters thesis, University of Malaya.
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Abstract
This project was initiated to study the ability of Hybrid Evolutionary Algorithms (HEA) in predicting the best rule sets to explain the dynamics of dissolved oxygen pattern in 2 freshwater lakes, Tasik Bera (Bera Lake) and Putrajaya Lake. In this study, we would like to observe the correlation between dissolved oxygen and other water quality parameters of the respected lakes that have been generated by the training of the algorithm. After each data training, analysis on rule sets generated was done and comparison was made against a set of testing data. Relations between each parameter were individually examined on how they reflect to the dynamics of oxygen concentration in the water bodies. The result obtained is compared to the existing research or literature to support the findings.
| Item Type: | Thesis (Masters) |
|---|---|
| Additional Information: | Submitted to Institute of Biological Sciences, Faculty of Science, University of Malaya in partial fullfillment of the requirements for the degree of Master of Bioinformatics |
| Uncontrolled Keywords: | Bioinformatics; Hybrid Evolutionary Algorithms |
| Subjects: | Q Science > QH Natural history > QH301 Biology |
| Divisions: | Faculty of Science |
| Depositing User: | Ms Rabiahtul Adauwiyah |
| Date Deposited: | 27 Mar 2013 15:01 |
| Last Modified: | 20 Aug 2013 12:14 |
| URI: | http://studentsrepo.um.edu.my/id/eprint/3842 |
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