Genetic Programming Bibliography entries for Sam Cramer

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GP coauthors/coeditors: Antonis K Alexandridis, Michael Kampouridis, Alex Alves Freitas,

Genetic Programming Articles by Sam Cramer

1. Sam Cramer and Michael Kampouridis and Alex A. Freitas and Antonis Alexandridis. Stochastic model genetic programming: Deriving pricing equations for rainfall weather derivatives. Swarm and Evolutionary Computation, 2019. details

2. Sam Cramer and Michael Kampouridis and Alex A. Freitas. Decomposition genetic programming: An extensive evaluation on rainfall prediction in the context of weather derivatives. Applied Soft Computing, 70:208-224, 2018. details

3. Sam Cramer and Michael Kampouridis and Alex A. Freitas and Antonis K. Alexandridis. An extensive evaluation of seven machine learning methods for rainfall prediction in weather derivatives. Expert Systems with Applications, 85:169-181, 2017. details

4. Antonis K. Alexandridis and Michael Kampouridis and Sam Cramer. A comparison of wavelet networks and genetic programming in the context of temperature derivatives. International Journal of Forecasting, 33(1):21-47, 2017. details

Genetic Programming PhD doctoral thesis Sam Cramer

• Sam Cramer. New genetic programming methods for rainfall prediction and rainfall derivatives pricing. PhD thesis, School of Computing, University of Kent, Canterbury, UK, 2017. details

Genetic Programming conference papers by Sam Cramer

1. Sam Cramer and Michael Kampouridis and Alex A. Freitas and Antonis K. Alexandridis. Pricing Rainfall Based Futures Using Genetic Programming. In Giovanni Squillero editor, 20th European Conference on the Applications of Evolutionary Computation, volume 10199, pages 17-33, Amsterdam, 2017. Springer. details

2. Sam Cramer and Michael Kampouridis and Alex Freitas. A Genetic Decomposition Algorithm for Predicting Rainfall within Financial Weather Derivatives. In Tobias Friedrich and Frank Neumann and Andrew M. Sutton and Martin Middendorf and Xiaodong Li and Emma Hart and Mengjie Zhang and Youhei Akimoto and Peter A. N. Bosman and Terry Soule and Risto Miikkulainen and Daniele Loiacono and Julian Togelius and Manuel Lopez-Ibanez and Holger Hoos and Julia Handl and Faustino Gomez and Carlos M. Fonseca and Heike Trautmann and Alberto Moraglio and William F. Punch and Krzysztof Krawiec and Zdenek Vasicek and Thomas Jansen and Jim Smith and Simone Ludwig and JJ Merelo and Boris Naujoks and Enrique Alba and Gabriela Ochoa and Simon Poulding and Dirk Sudholt and Timo Koetzing editors, GECCO '16: Proceedings of the 2016 Annual Conference on Genetic and Evolutionary Computation, pages 885-892, Denver, USA, 2016. ACM. details

3. Sam Cramer and Michael Kampouridis and Alex A. Freitas. Feature Engineering for Improving Financial Derivatives-based Rainfall Prediction. In Yew-Soon Ong editor, Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC 2016), pages 3483-3490, Vancouver, 2016. IEEE Press. details

4. Sam Cramer and Michael Kampouridis and Alex A. Freitas and Antonis Alexandridis. Predicting Rainfall in the Context of Rainfall Derivatives Using Genetic Programming. In 2015 IEEE Symposium Series on Computational Intelligence, pages 711-718, 2015. details