Genetic programming and autoconstructive evolution with the push programming language. Push is a programming language designed for the expression of evolving programs within an evolutionary computation system. This article describes Push and illustrates some of the opportunities that it presents for evolutionary computation. Two evolutionary computation systems, PushGP and Pushpop, are described in detail. PushGP is a genetic programming system that evolves Push programs to solve computational problems. Pushpop, an “autoconstructiove evolution” system, also evolves Push programs but does so while simultaneously evolving its own evolutionary mechanisms.

References in zbMATH (referenced in 11 articles , 1 standard article )

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  1. Edward Pantridge; Lee Spector: PyshGP: PushGP in Python (2017) not zbMATH
  2. Preen, Richard J.; Bull, Larry: Discrete and fuzzy dynamical genetic programming in the XCSF learning classifier system (2014) ioport
  3. Maitre, Ogier; Krüger, Frédéric; Querry, Stéphane; Lachiche, Nicolas; Collet, Pierre: EASEA: specification and execution of evolutionary algorithms on GPGPU (2012) ioport
  4. Hu, Ting; Banzhaf, Wolfgang: Evolvability and speed of evolutionary algorithms in light of recent developments in biology (2010) ioport
  5. Dioşan, Laura; Oltean, Mihai: Evolutionary design of evolutionary algorithms (2009) ioport
  6. Poli, Riccardo; Mcphee, Nicholas Freitag; Citi, Luca; Crane, Ellery: Memory with memory in genetic programming (2009) ioport
  7. Oltean, Mihai: Evolving evolutionary algorithms with patterns (2007) ioport
  8. Spector, Lee; Klein, Jon; Perry, Chris; Feinstein, Mark: Emergence of collective behavior in evolving populations of flying agents (2005) ioport
  9. Spector, Lee: Automatic quantum computer programming. A genetic programming approach (2004)
  10. Chalup, Stephan K.; Blair, Alan D.: Incremental training of first order recurrent neural networks to predict a context-sensitive language. (2003) ioport
  11. Spector, Lee; Robinson, Alan: Genetic programming and autoconstructive evolution with the push programming language (2002)