PERFORMANCE AMELIORATION OF GENETIC ALGORITHM
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Описание:
As Genetic Algorithms (GA) are widely applied in multiple scientific domains as an optimization strategy, the need for a high performing genetic algorithm is indispensable. This book provides a detailed survey of several performance improvement techniques in GA and presents a simple and adaptive multi-population genetic algorithm called Nomadic Genetic Algorithm (NGA) for performance amelioration of GA. It is applied for three diverse problems and compared with Standard GA (SGA) and other Multi- population GA. Though GA is adept at solving optimization problems, it is not directly suitable to solve problems with user specific constraints. A survey of techniques to handle such constrained optimization problems as well as a simpler and natural solution to handle them is provided in the form of a biologically inspired genetic operator namely‘Gene Silencing’. It is implemented for two diverse problems and compared with other techniques. Thus this book illuminates the probable areas of...Похожие книги
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