FGA Temperature Control for Incubating Egg
This paper investigates the use of genetic algorithms (GA) in the design and implementation of fuzzy logic controllers (FLC) for incubating egg. What is the best to determine the membership function is the first question that has been tackled. Thus it is important to select the accurate membership f...
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| Format: | Article |
| Language: | English |
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Wiley
2012-01-01
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| Series: | Advances in Fuzzy Systems |
| Online Access: | http://dx.doi.org/10.1155/2012/506082 |
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| _version_ | 1850167240802959360 |
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| author | Ismail Yusuf Yusram Yusuf Nur Iksan |
| author_facet | Ismail Yusuf Yusram Yusuf Nur Iksan |
| author_sort | Ismail Yusuf |
| collection | DOAJ |
| description | This paper investigates the use of genetic algorithms (GA) in the design and implementation of fuzzy logic controllers (FLC) for incubating egg. What is the best to determine the membership function is the first question that has been tackled. Thus it is important to select the accurate membership functions, but these methods possess one common weakness where conventional FLC use membership function generated by human operators. The membership function selection process is done with trial and error, and it runs step by step which takes too long in solving the problem. This paper develops a system that may help users to determine the membership function of FLC using the GA optimization for the fastest processing in solving the problems. The data collection is based on the simulation results, and the results refer to the transient response specification which is maximum overshoot. From the results presented, we will get a better and exact result; the value of overshot is decreasing from 1.2800 for FLC without GA to 1.0081 with GA (FGA). |
| format | Article |
| id | doaj-art-e2cbfa34ef2b4793b9056e7242c141ee |
| institution | OA Journals |
| issn | 1687-7101 1687-711X |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Fuzzy Systems |
| spelling | doaj-art-e2cbfa34ef2b4793b9056e7242c141ee2025-08-20T02:21:14ZengWileyAdvances in Fuzzy Systems1687-71011687-711X2012-01-01201210.1155/2012/506082506082FGA Temperature Control for Incubating EggIsmail Yusuf0Yusram Yusuf1Nur Iksan2Department of Computer, Lamintang Education and Training (LET-Indonesia), Perum Bandaramas Blok D5 1, Kota Batam, Kepri 29464, IndonesiaDepartment Of Mechanical Enginering, Sekolah Menengah Kejuruan (SMK) 5 Makassar, Jalan, Sunu 162, Makassar, Sulawesi Selatan 90214, IndonesiaDepartment of Computer, Lamintang Education and Training (LET-Indonesia), Perum Bandaramas Blok D5 1, Kota Batam, Kepri 29464, IndonesiaThis paper investigates the use of genetic algorithms (GA) in the design and implementation of fuzzy logic controllers (FLC) for incubating egg. What is the best to determine the membership function is the first question that has been tackled. Thus it is important to select the accurate membership functions, but these methods possess one common weakness where conventional FLC use membership function generated by human operators. The membership function selection process is done with trial and error, and it runs step by step which takes too long in solving the problem. This paper develops a system that may help users to determine the membership function of FLC using the GA optimization for the fastest processing in solving the problems. The data collection is based on the simulation results, and the results refer to the transient response specification which is maximum overshoot. From the results presented, we will get a better and exact result; the value of overshot is decreasing from 1.2800 for FLC without GA to 1.0081 with GA (FGA).http://dx.doi.org/10.1155/2012/506082 |
| spellingShingle | Ismail Yusuf Yusram Yusuf Nur Iksan FGA Temperature Control for Incubating Egg Advances in Fuzzy Systems |
| title | FGA Temperature Control for Incubating Egg |
| title_full | FGA Temperature Control for Incubating Egg |
| title_fullStr | FGA Temperature Control for Incubating Egg |
| title_full_unstemmed | FGA Temperature Control for Incubating Egg |
| title_short | FGA Temperature Control for Incubating Egg |
| title_sort | fga temperature control for incubating egg |
| url | http://dx.doi.org/10.1155/2012/506082 |
| work_keys_str_mv | AT ismailyusuf fgatemperaturecontrolforincubatingegg AT yusramyusuf fgatemperaturecontrolforincubatingegg AT nuriksan fgatemperaturecontrolforincubatingegg |