- author = "Qi Chen and Mengjie Zhang and Bing Xue",
- title = "New Geometric Semantic Operators in Genetic Programming: Perpendicular Crossover and Random Segment Mutation",
- booktitle = "Proceedings of the Genetic and Evolutionary Computation Conference Companion",
- series = "GECCO '17",
- year = "2017",
- isbn13 = "978-1-4503-4939-0",
- address = "Berlin, Germany",
- pages = "223--224",
- size = "2 pages",
-
URL = "
http://doi.acm.org/10.1145/3067695.3076008",
-
DOI = "
doi:10.1145/3067695.3076008",
- acmid = "3076008",
- publisher = "ACM",
- publisher_address = "New York, NY, USA",
- keywords = "genetic algorithms, genetic programming, geometric semantic operators, symbolic regression",
- month = "15-19 " # jul,
- abstract = "Various geometric search operators have been developed to explore the behaviours of individuals in genetic programming (GP) for the sake of making the evolutionary process more effective. This work proposes two geometric search operators to fulfil the semantic requirements under the theoretical framework of geometric semantic GP for symbolic regression. The two operators approximate the target semantics gradually but effectively. The results show that the new geometric operators can not only lead to a notable benefit to the learning performance, but also improve the generalisation ability of GP. In addition, they also bring a significant improvement to Random Desired Operator, which is a state-of-the-art geometric semantic operator.",
-
notes = "two benchmarks LD50 and DLBCL
Also known as \cite{Chen:2017:NGS:3067695.3076008} GECCO-2017 A Recombination of the 26th International Conference on Genetic Algorithms (ICGA-2017) and the 22nd Annual Genetic Programming Conference (GP-2017)",
