Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Effects of locality in individual and population evolution
Advances in genetic programming
Advances in genetic programming
The evolution of size and shape
Advances in genetic programming
Causality in Genetic Programming
Proceedings of the 6th International Conference on Genetic Algorithms
Advanced Population Diversity Measures in Genetic Programming
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
Code growth in genetic programming
Code growth in genetic programming
Towards identifying populations that increase the likelihood of success in genetic programming
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Dormant program nodes and the efficiency of genetic programming
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
On the behavioral diversity of random programs
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Semantic analysis of program initialisation in genetic programming
Genetic Programming and Evolvable Machines
Characterizing diversity in genetic programming
EuroGP'06 Proceedings of the 9th European conference on Genetic Programming
Diversity in genetic programming: an analysis of measures and correlation with fitness
IEEE Transactions on Evolutionary Computation
A fine-grained view of GP locality with binary decision diagrams as ant phenotypes
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part I
Promoting phenotypic diversity in genetic programming
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part II
Mutation as a diversity enhancing mechanism in genetic programming
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Maintaining population diversity in evolutionary art
EvoMUSART'12 Proceedings of the First international conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design
Geometric semantic genetic programming
PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part I
Genetic Programming and Evolvable Machines
Runtime analysis of mutation-based geometric semantic genetic programming on boolean functions
Proceedings of the twelfth workshop on Foundations of genetic algorithms XII
Proceedings of the 15th annual conference on Genetic and evolutionary computation
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A key factor in the success or otherwise of a genetic programming population in evolving towards a solution is the extent of diversity amongst its members. Diversity may be viewed in genotypic (structural) or in phenotypic (behavioural) terms, but the latter has received less attention. We propose a method for measuring phenotypic diversity in terms of the run-time behaviour of programs. We describe how this is applicable to a range of problem domains and show how the promotion of such diversity in initial genetic programming populations can have a substantial impact on solution-finding performance.