Simultaneous Adaptation Of Multiple Genetic Algorithm Parameters Using Fuzzy Logic Controllers
| dc.contributor.author | Nasser Ghallab, Abdullatif Saleh | |
| dc.date.accessioned | 2018-07-04T07:14:57Z | |
| dc.date.available | 2018-07-04T07:14:57Z | |
| dc.date.issued | 2010 | |
| dc.description.abstract | This study aims at designing an online adaptive method to control multiple parameters of the Genetic Algorithm. The efficiency of Genetic Algorithm requires maintaining an appropriate balance between exploration and exploitation, which in turn greatly depends on the settings of several parameters. The parameters are not independent and have complex interactions with each other during a given run. Ignoring the interaction between the adapted parameters or adapting one single parameter may have negative impact on the other related parameters, resulting in poor performance. However, most of the available alternatives cannot solve this problem effectively. Fuzzy Adaptive Genetic Algorithm techniques have been used recently for parameter control, but still suffer from some defects. This work contributes towards the design of a robust Fuzzy Adaptive Genetic Algorithm. It presents a new Fuzzy Adaptive Genetic Algorithm method based on three fuzzy logic controllers. This method controls multiple parameters simultaneously with online consideration for their interdependencies during a run. It adapts three main strategic parameters of the Genetic Algorithm, namely, population size, mutation, and crossover rates. The validity of the proposed work is illustrated with a series of experiments on a set of standard test problems often used to evaluate Genetic Algorithm techniques. The empirical results indicated that the proposed method maintains good adaptive values of parameters with better performance. | en_US |
| dc.identifier.uri | http://hdl.handle.net/123456789/5857 | |
| dc.language.iso | en | en_US |
| dc.publisher | Universiti Sains Malaysia | en_US |
| dc.subject | Designing an online adaptive method to control | en_US |
| dc.subject | multiple parameters of the Genetic Algorithm | en_US |
| dc.title | Simultaneous Adaptation Of Multiple Genetic Algorithm Parameters Using Fuzzy Logic Controllers | en_US |
| dc.type | Thesis | en_US |
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