PushGP is a genetic programming system that evolves programs in the Push programming language. PushGP has been used for a variety of applications, ranging from intelligent agent design to automatic quantum computer programming. Features include: Multiple data types without constraints on code generation or manipulation. Arbitrary control structures without constraints on code generation or manipulation. Arbitrary modularity without constraints on code generation or manipulation. Automatic program simplification (in some implementations).
Keywords for this software
References in zbMATH (referenced in 4 articles )
Showing results 1 to 4 of 4.
- Edward Pantridge; Lee Spector: PyshGP: PushGP in Python (2017) not zbMATH
- Xie, Huayang; Zhang, Mengjie: Depth-control strategies for crossover in tree-based genetic programming (2011) ioport
- Couchet, Jorge; Manrique, Daniel; Ríos, Juan; Rodríguez-Patón, Alfonso: Crossover and mutation operators for grammar-guided genetic programming (2007) ioport
- Spector, Lee; Robinson, Alan: Genetic programming and autoconstructive evolution with the push programming language (2002)