Jumping gene genetic algorithm and its applications in controller design
Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review
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Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | IEEE International Symposium on Industrial Electronics |
| Pages | 1219-1224 |
| Publication status | Published - 2008 |
Conference
| Title | 2008 IEEE International Symposium on Industrial Electronics (ISIE 2008) |
|---|---|
| Place | United Kingdom |
| City | Cambridge |
| Period | 30 June - 2 July 2008 |
Link(s)
Abstract
In this paper, two newly-designed jumping gene (JG) operations are proposed for the enhancement of genetic algorithm (GA). Based on the recent findings on their schemata growth rates, it is recognized that JG can provide the essential diversity in a GA so as to greatly enhance its searching ability. This nature is particularly important for multi-objective problem, in which a set of Pareto solutions is expected. As demonstrated by its application on the design of Fuzzy PID controllers, JGGA is considered as an effective and reliable methodology for multi-objective designs. © 2008 IEEE.
Citation Format(s)
Jumping gene genetic algorithm and its applications in controller design. / Yin, J. J.; Tang, Wallace; Man, K. F.
IEEE International Symposium on Industrial Electronics. 2008. p. 1219-1224 4677058.Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review
