The Performance of a Genetic Algorithm on a Chaotic Objective Function
نویسندگان
چکیده
A genetic algorithm GA is a general iterative search technique based on the concepts and mechanisms of nat ural evolution GAs are especially well known for their ability to search a large problem domain in a relatively short period of time and nd fairly good solutions Dy namical systems are processes in motion or processes which change over time Examples of dynamical sys tems can be found everywhere They range from very simple to extremely complex systems The motivation for studying dynamical systems is to be able to pre dict the future direction or state of such systems over time or space However under some circumstances even simple dynamical systems exhibit unpredictable almost random behavior Such behavior is called chaos The logistic equation is the canonical example of a chaotic dynamical system It is a simple model used to predict future populations of an organism over time
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