Genetic Programming and Evolvable Machines
Methods for artificial evolution of active components are rapidly developing branches of adaptive computation and adaptive engineering. They entail the development, evaluation and application of methods that mirror the process of neo-Darwinian evolution. Genetic Programming and Evolvable Machines reports innovative and significant progress in automatic evolution of software and hardware. It features both theoretical and application papers and covers hardware implementations, artificial life, molecular computing and emergent computation techniques.
In addition to its main topics, the journal covers related topics such as evolutionary algorithms with variable-size genomes, alternate methods of program induction, approaches to engineering systems development based on embryology, morphogenesis or other techniques inspired by adaptive natural systems.
Introduction to the peer commentary special section on “On the Mapping of Genotype to Phenotype in Evolutionary Algorithms” by Peter A. Whigham, Grant Dick, and James Maclaurin
Lee Spector (September 2017)
Just because it works: a response to comments on “On the Mapping of Genotype to Phenotype in Evolutionary Algorithms”
- Journal Title
- Genetic Programming and Evolvable Machines
- Volume 1 / 2000 - Volume 18 / 2017
- Print ISSN
- Online ISSN
- Springer US
- Additional Links
- Industry Sectors
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