Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Deriving Genetic Programming Fitness Properties by Static Analysis
EuroGP '02 Proceedings of the 5th European Conference on Genetic Programming
TAI '95 Proceedings of the Seventh International Conference on Tools with Artificial Intelligence
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Genetic Programming and Model Checking: Synthesizing New Mutual Exclusion Algorithms
ATVA '08 Proceedings of the 6th International Symposium on Automated Technology for Verification and Analysis
Semantic Aware Crossover for Genetic Programming: The Case for Real-Valued Function Regression
EuroGP '09 Proceedings of the 12th European Conference on Genetic Programming
Genetic programming with fitness based on model checking
EuroGP'07 Proceedings of the 10th European conference on Genetic programming
Semantic building blocks in genetic programming
EuroGP'08 Proceedings of the 11th European conference on Genetic programming
Model checking-based genetic programming with an application to mutual exclusion
TACAS'08/ETAPS'08 Proceedings of the Theory and practice of software, 14th international conference on Tools and algorithms for the construction and analysis of systems
A Field Guide to Genetic Programming
A Field Guide to Genetic Programming
A less destructive, context-aware crossover operator for GP
EuroGP'06 Proceedings of the 9th European conference on Genetic Programming
On the locality of grammatical evolution
EuroGP'06 Proceedings of the 9th European conference on Genetic Programming
An attribute grammar decoder for the 01 multiconstrained knapsack problem
EvoCOP'05 Proceedings of the 5th European conference on Evolutionary Computation in Combinatorial Optimization
IWINAC'05 Proceedings of the First international work-conference on the Interplay Between Natural and Artificial Computation conference on Artificial Intelligence and Knowledge Engineering Applications: a bioinspired approach - Volume Part II
Semantics based crossover for boolean problems
Proceedings of the 12th annual conference on Genetic and evolutionary computation
The role of syntactic and semantic locality of crossover in genetic programming
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part II
Examining the landscape of semantic similarity based mutation
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Improving the generalisation ability of genetic programming with semantic similarity based crossover
EuroGP'10 Proceedings of the 13th European conference on Genetic Programming
An investigation of fitness sharing with semantic and syntactic distance metrics
EuroGP'12 Proceedings of the 15th European conference on Genetic Programming
Genetic Programming and Evolvable Machines
On the roles of semantic locality of crossover in genetic programming
Information Sciences: an International Journal
Guiding function set selection in genetic programming based on fitness landscape analysis
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
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In this paper we propose a new method for implementing the cross-over operator in Genetic Programming (GP) called Semantic Similarity based Crossover (SSC). This new operator is inspired by Semantic Aware Crossover (SAC) [20]. SSC extends SAC by adding semantics to control the change of the semantics of the individuals during the evolutionary process. The new crossover operator is then tested on a family of symbolic regression problems and compared with SAC as well as Standard Crossover (SC). The results from the experiments show that the change of the semantics (fitness) in the new SSC is smoother compared to SAC and SC. This leads to performance improvement in terms of percentage of successful runs and mean best fitness.