- author = "Jory Schossau and Arend Hintze",
- title = "Small Implementation Differences Can Have Large Effects on Evolvability",
- booktitle = "Evolution in Action: Past, Present and Future: A Festschrift in Honor of Erik D. Goodman",
- publisher = "Springer",
- year = "2020",
- editor = "Wolfgang Banzhaf and Betty H. C. Cheng and Kalyanmoy Deb and Kay E. Holekamp and Richard E. Lenski and Charles Ofria and Robert T. Pennock and William F. Punch and Danielle J. Whittaker",
- series = "Genetic and Evolutionary Computation book series",
- chapter = "28",
- pages = "423--434",
- keywords = "genetic algorithms, genetic programming, Evolutionary computation, markov brain, mutation scheme, logic gates",
- isbn13 = "978-3-030-39833-0",
-
DOI = "
doi:10.1007/978-3-030-39831-6_28",
- abstract = "A key challenge in Evolutionary Computation is fitness landscape design. While the objective of the optimization process is often predefined, the actual fitness function, computational substrate, mutation scheme, and selection function must often be chosen by the experimenter. These choices are recognized to possibly have a large impact on experimental results. Here we investigate implementation differences of the encoding method and elaborate on its potential impact.",
-
notes = "mention of GP?
Department of Integrative Biology, Michigan State University, Michigan, USA",
