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

• Main Author: Awanis, Azizan
• Format: Thesis
• Published: 2012
• Subjects: QH301 Biology
• Online Access: http://studentsrepo.um.edu.my/3842/1/1._Title_page%2C_abstract%2C_content.pdf; http://studentsrepo.um.edu.my/3842/2/CHAPTER_1.pdf; http://studentsrepo.um.edu.my/3842/3/CHAPTER_2.pdf; http://studentsrepo.um.edu.my/3842/4/CHAPTER_3.pdf; http://studentsrepo.um.edu.my/3842/5/CHAPTER_4.pdf; http://studentsrepo.um.edu.my/3842/6/CHAPTER_5.pdf; http://studentsrepo.um.edu.my/3842/7/REFERENCES.pdf; http://studentsrepo.um.edu.my/3842/8/APPENDIX.pdf; http://pendeta.um.edu.my/client/default/search/results?qu=Application+of+hybrid+evolutionary+algorithm+%28HEA%29+to+discover+the+best+rule+set+to+explain+dissolved+oxygen+%28D.O.%29+dynamics+in+2+freshwater+lakes&te=; http://studentsrepo.um.edu.my/3842/

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 betwe...