Application Of Genetic Algorithms For Robust Parameter Optimization
Parameter optimization can be achieved by many methods such as Monte-Carlo, full, and fractional factorial designs. Genetic algorithms (GA) are fairly recent in this respect but afford a novel method of parameter optimization. In GA, there is an initial pool of individuals each with its own speci...
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| Format: | Article |
| Language: | English |
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Universiti Malaysia Pahang
2010
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| Online Access: | http://umpir.ump.edu.my/id/eprint/1652/1/11_M_M_Rahman_28072010_9_clean.pdf http://umpir.ump.edu.my/id/eprint/1652/ |
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