- author = "Cyril Fonlupt and Denis Robilliard",
- title = "A Continuous Approach to Genetic Programming",
- booktitle = "Proceedings of the 14th European Conference on Genetic Programming, EuroGP 2011",
- year = "2011",
- month = "27-29 " # apr,
- editor = "Sara Silva and James A. Foster and Miguel Nicolau and Mario Giacobini and Penousal Machado",
- series = "LNCS",
- volume = "6621",
- publisher = "Springer Verlag",
- address = "Turin, Italy",
- pages = "335--346",
- organisation = "EvoStar",
- keywords = "genetic algorithms, genetic programming: poster",
- isbn13 = "978-3-642-20406-7",
-
DOI = "
doi:10.1007/978-3-642-20407-4_29",
- size = "12 pages",
- abstract = "Differential Evolution (DE) is an evolutionary heuristic for continuous optimisation problems. In DE, solutions are coded as vectors of floats that evolve by crossover with a combination of best and random individuals from the current generation. Experiments to apply DE to automatic programming were made recently by Veenhuis, coding full program trees as vectors of floats (Tree Based Differential Evolution or TreeDE). In this paper, we use DE to evolve linear sequences of imperative instructions, which we call Linear Differential Evolutionary Programming (LDEP). Unlike TreeDE, our heuristic provides constant management for regression problems and lessens the tree-depth constraint on the architecture of solutions. Comparisons with TreeDE and GP show that LDEP is appropriate to automatic programming.",
-
notes = "refs \cite{ICSI-TR-95-012},
\cite{Veenhuis:2009:eurogp},
\cite{DBLP:conf/icai/ONeillB06}, \cite{langdon:book}
\cite{langdon:1998:antspace}
Part of \cite{Silva:2011:GP} EuroGP'2011 held in conjunction with EvoCOP2011 EvoBIO2011 and EvoApplications2011",
