A hybrid evolutionary algorithm and its application to parameter identification of rolling elements bearings
Kim, Eric, Tan, Andy, & Yang, Bo-Suk (2008) A hybrid evolutionary algorithm and its application to parameter identification of rolling elements bearings. In Kosinski, W (Ed.) Advances in Evolutionary Algorithms. IN-TECH, Austria, Vienna, pp. 143-166.
Citation countsare sourced monthly fromand citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
|Item Type:||Book Chapter|
|Keywords:||Evolutionary algorithm, Parameter identification, rolling element bearings, Genetic algorithm|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Neural Evolutionary and Fuzzy Computation (080108)|
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > MECHANICAL ENGINEERING (091300) > Dynamics Vibration and Vibration Control (091304)
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering|
Current > Institutes > Institute of Health and Biomedical Innovation
Past > Schools > School of Engineering Systems
|Deposited On:||12 Feb 2010 22:39|
|Last Modified:||11 Aug 2011 04:29|
Repository Staff Only: item control page