Genetic Programming Bibliography entries for Kangil Kim
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Created by W.Langdon from
R I (Bob) McKay,
Nguyen Xuan Hoai,
Genetic Programming Articles by Kangil Kim
Kangil Kim and R. I. (Bob) McKay and Nguyen Xuan Hoai.
Recursion-Based Biases in Stochastic Grammar Model Genetic Programming.
IEEE Transactions on Evolutionary Computation, 20(1):81-95, 2016.
Kangil Kim and Yin Shan and Xuan Hoai Nguyen and R. I. McKay.
Probabilistic model building in genetic programming: a critical review.
Genetic Programming and Evolvable Machines, 15(2):115-167, 2014.
Kangil Kim and Bob (R. I.) Mckay.
Stochastic Diversity Loss and Scalability in Estimation of Distribution Genetic Programming.
IEEE Transactions on Evolutionary Computation, 17(3):301-320, 2013.
Genetic Programming conference papers by Kangil Kim
Namyong Park and Kangil Kim and R. I. (Bob) McKay.
Cutting Evaluation Costs: An Investigation into Early Termination in Genetic Programming. In
Luis Gerardo de la Fraga editor,
2013 IEEE Conference on Evolutionary Computation, volume 1, pages 3291-3298, Cancun, Mexico, 2013.
Kangil Kim and Hanggjun Cho.
Bias Reduction of Probabilistic Prototype Tree based Estimation of Distribution Genetic Programming in Predicting Arthritis Prevalence. In
Aki-Hiro Sato Sung-Bae Cho and Kyung-Joong Kim editors,
17th Asia Pacific Symposium on Intelligent and Evolutionary Systems, IES2013, pages 121-125, Yonsei University, Seoul, Korea, 2013.
MinHyeok Kim and Bob McKay and Kangil Kim and Xuan Hoai Nguyen.
Analysing the Effects of Diverse Operators in a Genetic Programming System. In
Carlos A. Coello Coello and Vincenzo Cutello and Kalyanmoy Deb and Stephanie Forrest and Giuseppe Nicosia and Mario Pavone editors,
Parallel Problem Solving from Nature, PPSN XII (part 1), volume 7491, pages 387-396, Taormina, Italy, 2012. Springer.
Kangil Kim and Bob (R. I) McKay and Nguyen Xuan Hoai.
Implicit Bias in Grammar-based Estimation of Distribution Genetic Programming: The Effects of Recursive Structure. In
Xiaodong Li editor,
Proceedings of the 2012 IEEE Congress on Evolutionary Computation, pages 2373-2380, Brisbane, Australia, 2012.
Kangil Kim and Min Hyeok Kim and Bob McKay.
Structural difficulty in estimation of distribution genetic programming. In
Natalio Krasnogor and Pier Luca Lanzi and Andries Engelbrecht and David Pelta and Carlos Gershenson and Giovanni Squillero and Alex Freitas and Marylyn Ritchie and Mike Preuss and Christian Gagne and Yew Soon Ong and Guenther Raidl and Marcus Gallager and Jose Lozano and Carlos Coello-Coello and Dario Landa Silva and Nikolaus Hansen and Silja Meyer-Nieberg and Jim Smith and Gus Eiben and Ester Bernado-Mansilla and Will Browne and Lee Spector and Tina Yu and Jeff Clune and Greg Hornby and Man-Leung Wong and Pierre Collet and Steve Gustafson and Jean-Paul Watson and Moshe Sipper and Simon Poulding and Gabriela Ochoa and Marc Schoenauer and Carsten Witt and Anne Auger editors,
GECCO '11: Proceedings of the 13th annual conference on Genetic and evolutionary computation, pages 1459-1466, Dublin, Ireland, 2011. ACM.
MinHyeok Kim and Robert Ian (Bob) McKay and Nguyen Xuan Hoai and Kangil Kim.
Operator Self-Adaptation in Genetic Programming. In
Sara Silva and James A. Foster and Miguel Nicolau and Mario Giacobini and Penousal Machado editors,
Proceedings of the 14th European Conference on Genetic Programming, EuroGP 2011, volume 6621, pages 215-226, Turin, Italy, 2011. Springer Verlag.
Kangil Kim and R. I. (Bob) McKay and Dharani Punithan.
Sampling Bias in Estimation of Distribution Algorithms for Genetic Programming Using Prototype Trees. In
Byoung-Tak Zhang and Mehmet A. Orgun editors,
PRICAI 2010: Trends in Artificial Intelligence, 11th Pacific Rim International Conference on Artificial Intelligence, Daegu, Korea, August 30-September 2, 2010. Proceedings, volume 6230, pages 100-111, 2010. Springer.