Gpax: Genetic Parabolic Adaptive Crossover Operator

摘要: Abstract In this paper we propose a new crossover operator for real coded evolutionary algorithms that is based on parabolic probability density function. This function depends two parameters α and β which have the capacity to achieve exploration exploitation dynamically during process in relation best individuals. other words, proposed able handle generational diversity of population such way it can either generate additional diversity, therefore allowing take effect, or use previously generated exploit better solutions. order test performance crossover, used set functions made comparative study against classic operators. The analysis results allows us affirm displays very suitable behavior, although, should be noted offers b...