Date of Award
1-1-2012
Thesis Type
masters
Document Type
Thesis
Divisions
science
Department
Institute of Biological Sciences
Institution
University of Malaya
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.
Note
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
Recommended Citation
Awanis, Azizan, "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" (2012). Student Works (2010-2019). 969.
https://knova.um.edu.my/student_works_2010s/969
3842-CHAPTER_2.pdf (406 kB)
3842-CHAPTER_3.pdf (474 kB)
3842-CHAPTER_4.pdf (447 kB)
3842-CHAPTER_5.pdf (83 kB)
3842-REFERENCES.pdf (209 kB)
3842-APPENDIX.pdf (273 kB)