2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.NE2017★ 2 cited
Using LLVM-based JIT Compilation in Genetic Programming
Michal Gregor, Juraj Spalek
The paper describes an approach to implementing genetic programming, which uses the LLVM library to just-in-time compile/interpret the evolved abstract syntax trees. The solution i…
cs.NE2016
Fitness-based Adaptive Control of Parameters in Genetic Programming: Adaptive Value Setting of Mutation Rate and Flood Mechanisms
Michal Gregor, Juraj Spalek
This paper concerns applications of genetic algorithms and genetic programming to tasks for which it is difficult to find a representation that does not map to a highly complex and…