Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Genetic programming II: automatic discovery of reusable programs
Genetic programming II: automatic discovery of reusable programs
Foundations of genetic programming
Foundations of genetic programming
Dynamics of evolutionary robustness
Proceedings of the 8th annual conference on Genetic and evolutionary computation
A Field Guide to Genetic Programming
A Field Guide to Genetic Programming
Genetic Programming and Evolvable Machines
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Implicitly controlling bloat in genetic programming
IEEE Transactions on Evolutionary Computation
Reassembling operator equalisation: a secret revealed
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Reassembling operator equalisation: a secret revealed
ACM SIGEVOlution
Operator equalisation for bloat free genetic programming and a survey of bloat control methods
Genetic Programming and Evolvable Machines
Hi-index | 0.00 |
Elitism is commonly used in generational GP to ensure that the best individuals discovered in a generation are not lost, and are made available for possible further improvements to new generations. Using two GP systems and four problems, we show how elitism reduces the growth of mean program size.