| 2019 | Solution and Fitness Evolution (SAFE): Coevolving Solutions and Their Objective Functions. | Moshe Sipper, Jason H. Moore, Ryan J. Urbanowicz |
| 2019 | Learning Class Disjointness Axioms Using Grammatical Evolution. | Thu Huong Nguyen, Andrea G. B. Tettamanzi |
| 2019 | Why Is Auto-Encoding Difficult for Genetic Programming? | James McDermott |
| 2019 | Hyper-bent Boolean Functions and Evolutionary Algorithms. | Luca Mariot, Domagoj Jakobovic, Alberto Leporati, Stjepan Picek |
| 2019 | Can Genetic Programming Do Manifold Learning Too? | Andrew Lensen, Bing Xue, Mengjie Zhang |
| 2019 | Evolving AVX512 Parallel C Code Using GP. | William B. Langdon, Ronny Lorenz |
| 2019 | Cartesian Genetic Programming as an Optimizer of Programs Evolved with Geometric Semantic Genetic Programming. | Ondrej Koncal, Luks Sekanina |
| 2019 | Towards a Scalable EA-Based Optimization of Digital Circuits. | Jitka Kocnov, Zdenek Vascek |
| 2019 | Improving Genetic Programming with Novel Exploration - Exploitation Control. | Jonathan Kelly, Erik Hemberg, Una-May O'Reilly |
| 2019 | Complex Network Analysis of a Genetic Programming Phenotype Network. | Ting Hu, Marco Tomassini, Wolfgang Banzhaf |
| 2019 | Comparison of Genetic Programming Methods on Design of Cryptographic Boolean Functions. | Jakub Husa |
| 2019 | A Genetic Programming Approach to Predict Mosquitoes Abundance. | Riccardo Gervasi, Irene Azzali, Donal Bisanzio, Andrea Mosca, Luigi Bertolotti, Mario Giacobini |
| 2019 | A Vectorial Approach to Genetic Programming. | Irene Azzali, Leonardo Vanneschi, Sara Silva, Illya Bakurov, Mario Giacobini |
| 2019 | Quantum Program Synthesis: Swarm Algorithms and Benchmarks. | Timothy Atkinson, Athena Karsa, John H. Drake, Jerry Swan |
| 2019 | Fast DENSER: Efficient Deep NeuroEvolution. | Filipe Assuno, Nuno Loureno, Penousal Machado, Bernardete Ribeiro |
| 2019 | Ariadne: Evolving Test Data Using Grammatical Evolution. | Muhammad Sheraz Anjum, Conor Ryan |
| 2018 | Genetic Programming Hyper-Heuristic with Cooperative Coevolution for Dynamic Flexible Job Shop Scheduling. | Daniel Yska, Yi Mei, Mengjie Zhang |
| 2018 | A Multiple Expression Alignment Framework for Genetic Programming. | Leonardo Vanneschi, Kristen M. Scott, Mauro Castelli |
| 2018 | Towards in Vivo Genetic Programming: Evolving Boolean Networks to Determine Cell States. | Nadia S. Taou, Michael A. Lones |
| 2018 | Multi-level Grammar Genetic Programming for Scheduling in Heterogeneous Networks. | Takfarinas Saber, David Fagan, David Lynch, Stepn Kucera, Holger Claussen, Michael O'Neill |
| 2018 | Structurally Layered Representation Learning: Towards Deep Learning Through Genetic Programming. | Lino Alberto Rodrguez Coayahuitl, Alicia Morales-Reyes, Hugo Jair Escalante |
| 2018 | Investigating a Machine Breakdown Genetic Programming Approach for Dynamic Job Shop Scheduling. | John Park, Yi Mei, Su Nguyen, Gang Chen, Mengjie Zhang |
| 2018 | Comparing Rule Evaluation Metrics for the Evolutionary Discovery of Multi-relational Association Rules in the Semantic Web. | Duc Minh Tran, Claudia d'Amato, Nguyen Thanh Binh, Andrea G. B. Tettamanzi |
| 2018 | On the Automatic Design of a Representation for Grammar-Based Genetic Programming. | Eric Medvet, Alberto Bartoli |
| 2018 | Geometric Crossover in Syntactic Space. | Joo Macedo, Carlos M. Fonseca, Ernesto Costa |