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Cartesian genetic programming: its status and future

Julian Francis Miller
2019 Genetic Programming and Evolvable Machines  
Cartesian genetic programming, a well-established method of genetic programming, is approximately 20 years old. It represents solutions to computational problems as graphs.  ...  Its genetic encoding includes explicitly redundant genes which are wellknown to assist in effective evolutionary search.  ...  Introduction The term "Cartesian genetic programming" (CGP) 1 first appeared in 1999 [65] .  ... 
doi:10.1007/s10710-019-09360-6 fatcat:vocd7cqshndefkib6nvbhu7gxa

Model-based evolutionary algorithms

Dirk Thierens, Peter A. N. Bosman
2019 Proceedings of the Genetic and Evolutionary Computation Conference Companion on - GECCO '19  
Acknowledgements ◮ Selected images were re-used from the 2012 GECCO tutorial "Probabilistic Model-building Genetic Algorithms" by Martin Pelikan.  ...  GECCO 2019 Tutorial -Model-Based Evolutionary Algorithms. 103/122 Model-Based Genetic Programming ◮ If looking at solutions node-based, and using a fixed template, essentially have Cartesian fixed-length  ...  GECCO 2019 Tutorial -Model-Based Evolutionary Algorithms. 102/122 Model-Based Genetic Programming ◮ Early works did not use grammar, e.g PIPE (Probabilistic Incremental Program Evolution) ◮ Salustowicz  ... 
doi:10.1145/3319619.3323386 dblp:conf/gecco/ThierensB19 fatcat:w6prjwu7wzfe3citnfna2sdcbe

Model-based evolutionary algorithms

Dirk Thierens, Peter A. N. Bosman
2018 Proceedings of the Genetic and Evolutionary Computation Conference Companion on - GECCO '18  
Acknowledgements ◮ Selected images were re-used from the 2012 GECCO tutorial "Probabilistic Model-building Genetic Algorithms" by Martin Pelikan.  ...  GECCO 2018 Tutorial -Model-Based Evolutionary Algorithms. 103/122 Model-Based Genetic Programming ◮ If looking at solutions node-based, and using a fixed template, essentially have Cartesian fixed-length  ...  GECCO 2018 Tutorial -Model-Based Evolutionary Algorithms. 102/122 Model-Based Genetic Programming ◮ Early works did not use grammar, e.g PIPE (Probabilistic Incremental Program Evolution) ◮ Salustowicz  ... 
doi:10.1145/3205651.3207874 dblp:conf/gecco/ThierensB18 fatcat:mjsqksmkunbkba3e2a6jfyyli4

Model-based evolutionary algorithms

Dirk Thierens, Peter A.N. Bosman
2014 Proceedings of the 2014 conference companion on Genetic and evolutionary computation companion - GECCO Comp '14  
Acknowledgements ◮ Selected images were re-used from the 2012 GECCO tutorial "Probabilistic Model-building Genetic Algorithms" by Martin Pelikan.  ...  not always ◮ Grammar Guided Genetic Programming (GGGP) ◮ Grammars very useful to limit search space ◮ But how do we use it learn structural features?  ...  GECCO 2016 Tutorial -Model-Based Evolutionary Algorithms. 37/110 Linkage Tree Genetic Algorithm ◮ The LTGA is an instance of GOMEA that uses a Linkage Tree as FOS model (Thierens & Bosman, 2010 , 2011  ... 
doi:10.1145/2598394.2605344 dblp:conf/gecco/ThierensB14 fatcat:ocjcmqpwfbb5ln6hadekywb2hy

Model-Based Evolutionary Algorithms

Dirk Thierens, Peter A.N. Bosman
2015 Proceedings of the Companion Publication of the 2015 on Genetic and Evolutionary Computation Conference - GECCO Companion '15  
Acknowledgements ◮ Selected images were re-used from the 2012 GECCO tutorial "Probabilistic Model-building Genetic Algorithms" by Martin Pelikan.  ...  not always ◮ Grammar Guided Genetic Programming (GGGP) ◮ Grammars very useful to limit search space ◮ But how do we use it learn structural features?  ...  GECCO 2016 Tutorial -Model-Based Evolutionary Algorithms. 37/110 Linkage Tree Genetic Algorithm ◮ The LTGA is an instance of GOMEA that uses a Linkage Tree as FOS model (Thierens & Bosman, 2010 , 2011  ... 
doi:10.1145/2739482.2756584 dblp:conf/gecco/ThierensB15 fatcat:m3vngle7ong4ngopximusovgoa

Model-Based Evolutionary Algorithms

Dirk Thierens, Peter A.N. Bosman
2016 Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion - GECCO '16 Companion  
Acknowledgements ◮ Selected images were re-used from the 2012 GECCO tutorial "Probabilistic Model-building Genetic Algorithms" by Martin Pelikan.  ...  not always ◮ Grammar Guided Genetic Programming (GGGP) ◮ Grammars very useful to limit search space ◮ But how do we use it learn structural features?  ...  GECCO 2016 Tutorial -Model-Based Evolutionary Algorithms. 37/110 Linkage Tree Genetic Algorithm ◮ The LTGA is an instance of GOMEA that uses a Linkage Tree as FOS model (Thierens & Bosman, 2010 , 2011  ... 
doi:10.1145/2908961.2926975 dblp:conf/gecco/ThierensB16 fatcat:oiriel3cunbnhkqsy452yfypjq

Model-based evolutionary algorithms

Dirk Thierens, Peter A.N. Bosman
2013 Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion - GECCO '13 Companion  
Acknowledgements ◮ Selected images were re-used from the 2012 GECCO tutorial "Probabilistic Model-building Genetic Algorithms" by Martin Pelikan.  ...  not always ◮ Grammar Guided Genetic Programming (GGGP) ◮ Grammars very useful to limit search space ◮ But how do we use it learn structural features?  ...  GECCO 2016 Tutorial -Model-Based Evolutionary Algorithms. 37/110 Linkage Tree Genetic Algorithm ◮ The LTGA is an instance of GOMEA that uses a Linkage Tree as FOS model (Thierens & Bosman, 2010 , 2011  ... 
doi:10.1145/2464576.2480801 dblp:conf/gecco/ThierensB13a fatcat:5wn2n4yjo5fgvexfq5plx4kb5y

Building Image Feature Kinetics for Cement Hydration Using Gene Expression Programming With Similarity Weight Tournament Selection

Lin Wang, Bo Yang, Shoude Wang, Zhifeng Liang
2015 IEEE Transactions on Evolutionary Computation  
GECCO 2007, ACM, p. 245-252 4 1 Miller, J., Harding, S.: Cartesian Genetic Programming.  ...  using Cartesian Genetic Programming.  ... 
doi:10.1109/tevc.2014.2367111 fatcat:dsfdt3ngn5htfdg4ydmofrqznm

Deep learning in neural networks: An overview

Jürgen Schmidhuber
2015 Neural Networks  
I review deep supervised learning (also recapitulating the history of backpropagation), unsupervised learning, reinforcement learning & evolutionary computation, and indirect search for short programs  ...  Compare Genetic Programming (GP) (Cramer, 1985) (see also Smith, 1980) which can be used to evolve computer programs of variable size (Dickmanns et al., 1987; Koza, 1992) , and Cartesian GP (Miller  ...  In Proceedings of the Conference on Genetic and Evolutionary Computation (GECCO), pages 974-981. Datar, M., Immorlica, N., Indyk, P., and Mirrokni, V. S. (2004).  ... 
doi:10.1016/j.neunet.2014.09.003 pmid:25462637 fatcat:fniwacdkurh2pgbspkaf6uyhyq

Multi-objective evolution of fast and stable gaits on a physical quadruped robotic platform

Tonnes F. Nygaard, Jim Torresen, Kyrre Glette
2016 2016 IEEE Symposium Series on Computational Intelligence (SSCI)  
"Using cyclic genetic algorithms to evolve multi-loop control programs". In: IEEE International Conference Mechatronics and Automation, 2005. Vol. 1.  ...  In: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO '19. Association for Computing Machinery, 2019, pp. 133-141. doi: 10.1145/3321707.3321762. [58] Nordmoen, J., Nygaard, T.  ... 
doi:10.1109/ssci.2016.7850167 dblp:conf/ssci/NygaardTG16 fatcat:x3aoioqesvghzk7lbzpejridwi

Cost-to-Go Function Approximation [chapter]

2017 Encyclopedia of Machine Learning and Data Mining  
In: Beyer H (ed) Proceedings of the 2005 conference on genetic and evolutionary computation (GECCO '05).  ...  In: Spector L, Goodman ED, Wu A, Langdon WB, Voigt H-M, Gen M et al (eds) Proceedings of the genetic and evolutionary computation conference (GECCO-2001).  ... 
doi:10.1007/978-1-4899-7687-1_100093 fatcat:vse7ncdqs5atlosjhz7fhlj3im

Dagstuhl Reports, Volume 8, Issue 1, January 2018, Complete Issue [article]

2018
This seminar brought researchers working in genetic improvement and related areas, such as automated program repair, software testing and genetic programming, together.  ...  Abstract We document the program and the immediate outcomes of Dagstuhl Seminar 18052 "Genetic Improvement of Software".  ...  In: Genetic and Evolutionary Computation Conference (GECCO 2010). pp. 471-478.  ... 
doi:10.4230/dagrep.8.1 fatcat:dv5ntjliznbs7dwohrcmiwr3lm