- author = "Quang Uy Nguyen and Xuan Hoai Nguyen and Michael O'Neill and Alexandros Agapitos",
- title = "An Investigation of Fitness Sharing with Semantic and Syntactic Distance Metrics",
- booktitle = "Proceedings of the 15th European Conference on Genetic Programming, EuroGP 2012",
- year = "2012",
- month = "11-13 " # apr,
- editor = "Alberto Moraglio and Sara Silva and Krzysztof Krawiec and Penousal Machado and Carlos Cotta",
- series = "LNCS",
- volume = "7244",
- publisher = "Springer Verlag",
- address = "Malaga, Spain",
- pages = "109--120",
- organisation = "EvoStar",
- isbn13 = "978-3-642-29138-8",
-
DOI = "
doi:10.1007/978-3-642-29139-5_10",
- size = "12 pages",
- keywords = "genetic algorithms, genetic programming, niches, Fitness sharing, Semantic, Syntactic",
- abstract = "This paper investigates the efficiency of using semantic and syntactic distance metrics in fitness sharing with Genetic Programming (GP). We modify the implementation of fitness sharing to speed up its execution, and used two distance metrics in calculating the distance between individuals in fitness sharing: semantic distance and syntactic distance. We applied fitness sharing with these two distance metrics to a class of real-valued symbolic regression. Experimental results show that using semantic distance in fitness sharing helps to significantly improve the performance of GP more frequently, and results in faster execution times than with the syntactic distance. Moreover, we also analyse the impact of the fitness sharing parameters on GP performance helping to indicate appropriate values for fitness sharing using a semantic distance metric.",
-
notes = "structural distance.
Part of \cite{Moraglio:2012:GP} EuroGP'2012 held in conjunction with EvoCOP2012 EvoBIO2012, EvoMusArt2012 and EvoApplications2012",
