A comparative analysis of genetic programming
Advances in genetic programming
On the analysis of the (1+ 1) evolutionary algorithm
Theoretical Computer Science
EuroGP '98 Proceedings of the First European Workshop on Genetic Programming
"Balls into Bins" - A Simple and Tight Analysis
RANDOM '98 Proceedings of the Second International Workshop on Randomization and Approximation Techniques in Computer Science
An analysis of genetic programming
An analysis of genetic programming
Some New Aspects of the Coupon Collector's Problem
SIAM Journal on Discrete Mathematics
Runtime Analysis of the (μ+1) EA on Simple Pseudo-Boolean Functions
Evolutionary Computation
Theoretical results in genetic programming: the next ten years?
Genetic Programming and Evolvable Machines
Bioinspired Computation in Combinatorial Optimization: Algorithms and Their Computational Complexity
Bioinspired Computation in Combinatorial Optimization: Algorithms and Their Computational Complexity
IEEE Transactions on Evolutionary Computation
PAC learning and genetic programming
Proceedings of the 13th annual conference on Genetic and evolutionary computation
How far is it from here to there? a distance that is coherent with GP operators
EuroGP'11 Proceedings of the 14th European conference on Genetic programming
Computational complexity analysis of multi-objective genetic programming
Proceedings of the 14th annual conference on Genetic and evolutionary computation
The max problem revisited: the importance of mutation in genetic programming
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Autoconstructive evolution for structural problems
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part I
Parsimony pressure versus multi-objective optimization for variable length representations
PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part I
Runtime analysis of mutation-based geometric semantic genetic programming on boolean functions
Proceedings of the twelfth workshop on Foundations of genetic algorithms XII
Single- and multi-objective genetic programming: new bounds for weighted order and majority
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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Analyzing the computational complexity of evolutionary algorithms (EAs) for binary search spaces has significantly informed our understanding of EAs in general. With this paper, we start the computational complexity analysis of genetic programming (GP). We set up several simplified GP algorithms and analyze them on two separable model problems, ORDER and MAJORITY, each of which captures a relevant facet of typical GP problems. Both analyses give first rigorous insights into aspects of GP design, highlighting in particular the impact of accepting or rejecting neutral moves and the importance of a local mutation operator.