The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Encoding is one of difficult problems of research on genetic algorithm (GA). Floating point representation (FPR) is super to other encoding method in function and restriction optimization. But this problem was ignored by researchers how FPR was denoised in running environment of GA for enhancing the performance of GA. In this paper, it was proved by the wavelet theory that odd-length and even-length...
In order to solve the problem of noises that were generated by operation on floating point representation (FPR) in genetic environment, and its influence on performance of genetic algorithm (GA), FPR genetic algorithm (FPRGA) denoising mutation based on wavelet decomposition (FPRGAWD) is presented by this paper. FPR noises were decomposed with Haar wavelet. The noises are mapped to Haar basis. The...
Genetic algorithm (GA) is used widely to many fields. Coding is one of difficult issues of GA research. Floating point presentation (FPR) is of the advantage of higher precision and convenience of searching in great space. FPR is superior to other codes in function optimization and restriction optimization. But, the noises were neglected by researches which were generated by FPR in genetic environment...
Dual-tree complex wavelet transform (DTCWT) is of better properties than discrete wavelet transform (DWT). The attention of the researches was aroused by the noise and its influence on the performance of algorithm in genetic operation of floating point representation genetic algorithm (FPRGA). In order to eliminate the noise influence on algorithm properties, this paper proposes denoising mutation...
Coding is an important and a difficult subject of research on genetic algorithm (GA). Float code (FC) is super to other codes in use. But, noise and its influence on GA performance were ignored by researches in genetic operation. Mutation played an important role of improving GA performance. This paper presents a float-coded genetic algorithm (FCGA) with wavelet denoising mutation. They are called...
Coding is a difficult subject of research on genetic algorithm (GA). In many codes, float code (FC) is super to other codes in use. But, noise and its influence on GA performance were ignored by researches in genetic operation. Mutation played an important role of improving GA performance. Hence, float-coded genetic algorithm (FCGA) based on wavelet denoising mutation (FCGAWM) was proposed in this...
Coding is a difficult subject of research on genetic algorithm (GA). In many codes, float code (FC) is super to other codes in use. But, noise and its influence on GA performance were ignored by researches in genetic operation. Mutation played an important role of improving GA performance. Hence, float-coded genetic algorithm (FCGA) based on wavelet denoising mutation (FCGAWM) was proposed in this...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.