In this paper, we compare a basic linear genetic programming (LGP) algorithm against several LGP variants, proposed by us, on two sets of symbolic regression benchmarks. We evaluated the influence of methods to control bloat, investigated these techniques focused in growth of effective code, and examined an operator to consider two successful individuals as modules
This paper presents Kaizen Programming, an evolutionary tool based on the concepts of Continuous Improvement from Kaizen Japanese methodology. One may see Kaizen Programming as a new paradigm since, as opposed to classical evolutionary algorithms where individuals are complete solutions, in Kaizen Programming each expert proposes an idea to solve part of the problem, thus
Vinícius Veloso de Melo is an Assistant Professor of Computer Science at
Federal University of São Paulo, São José dos Campos, SP, Brazil.
Email: (blanks against robots): myfirstname dot mylastname at unifesp dot br
Don't use accents in the email!