Abstract is missing.
- Using GP Is NEAT: Evolving Compositional Pattern Production FunctionsFilipe Assunção, Nuno Lourenço 0002, Penousal Machado, Bernardete Ribeiro. 3-18 [doi]
- Evolving the Topology of Large Scale Deep Neural NetworksFilipe Assunção, Nuno Lourenço 0002, Penousal Machado, Bernardete Ribeiro. 19-34 [doi]
- Evolving Graphs by Graph ProgrammingTimothy Atkinson, Detlef Plump, Susan Stepney. 35-51 [doi]
- Pruning Techniques for Mixed Ensembles of Genetic Programming ModelsMauro Castelli, Ivo Gonçalves, Luca Manzoni, Leonardo Vanneschi. 52-67 [doi]
- Analyzing Feature Importance for Metabolomics Using Genetic ProgrammingTing Hu, Karoliina Oksanen, Weidong Zhang, Edward Randell, Andrew Furey, Guangju Zhai. 68-83 [doi]
- Generating Redundant Features with Unsupervised Multi-tree Genetic ProgrammingAndrew Lensen, Bing Xue, Mengjie Zhang. 84-100 [doi]
- On the Automatic Design of a Representation for Grammar-Based Genetic ProgrammingEric Medvet, Alberto Bartoli. 101-117 [doi]
- Multi-level Grammar Genetic Programming for Scheduling in Heterogeneous NetworksTakfarinas Saber, David Fagan, David Lynch, Stepán Kucera, Holger Claussen, Michael O'Neill. 118-134 [doi]
- Scaling Tangled Program Graphs to Visual Reinforcement Learning in ViZDoomRobert J. Smith 0002, Malcolm I. Heywood. 135-150 [doi]
- Towards in Vivo Genetic Programming: Evolving Boolean Networks to Determine Cell StatesNadia S. Taou, Michael A. Lones. 151-165 [doi]
- A Multiple Expression Alignment Framework for Genetic ProgrammingLeonardo Vanneschi, Kristen Scott, Mauro Castelli. 166-183 [doi]
- Multi-objective Evolution of Ultra-Fast General-Purpose Hash FunctionsDavid Grochol, Lukás Sekanina. 187-202 [doi]
- A Comparative Study on Crossover in Cartesian Genetic ProgrammingJakub Husa, Roman Kalkreuth. 203-219 [doi]
- Evolving Better RNAfold Structure PredictionWilliam B. Langdon, Justyna Petke, Ronny Lorenz. 220-236 [doi]
- Geometric Crossover in Syntactic SpaceJoão Macedo, Carlos M. Fonseca, Ernesto Costa. 237-252 [doi]
- Investigating a Machine Breakdown Genetic Programming Approach for Dynamic Job Shop SchedulingJohn Park, Yi Mei, Su Nguyen, Gang Chen 0002, Mengjie Zhang. 253-270 [doi]
- Structurally Layered Representation Learning: Towards Deep Learning Through Genetic ProgrammingLino Rodriguez-Coayahuitl, Alicia Morales-Reyes, Hugo Jair Escalante. 271-288 [doi]
- Comparing Rule Evaluation Metrics for the Evolutionary Discovery of Multi-relational Association Rules in the Semantic WebTran Duc Minh, Claudia d'Amato, Binh Thanh Nguyen, Andrea G. B. Tettamanzi. 289-305 [doi]
- Genetic Programming Hyper-Heuristic with Cooperative Coevolution for Dynamic Flexible Job Shop SchedulingDaniel Yska, Yi Mei, Mengjie Zhang. 306-321 [doi]