Overview of Selection Schemes In Real-Coded Genetic Algorithms and Their Applications
Anil Mokhade, Omprakash G. Kakde · Journal of Industrial and Intelligent Information · 2014
The real-coded genetic algorithms are being used by the research community for diverse applications. This diversity is further extended into the selection schemes of different types and combination of them have been tried by the community. This paper is the overview of the selection schemes in genetic algorithms with particular reference to real-coded genetic algorithms. It discusses the evolution of genetic algorithms, their principles of working and advantages of real-coded genetic algorithms. It brings out the important properties of the genetic algorithms and then discusses the applications of real-coded genetic algorithms with selection focus. It also points to the further research in combining the real-coded genetic algorithm using 80:20 principles in selection involving intuition. Index Terms—real-coded genetic algorithms, selection, 80:20 principle