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Dynamic environments can speed up evolution with genetic programming., , and . GECCO (Companion), page 191-192. ACM, (2011)Dynamic ant: introducing a new benchmark for genetic programming in dynamic environments., , , , and . GECCO (Companion), page 183-184. ACM, (2011)Crossover, Population Dynamics, and Convergence in the GAuGE System., and . GECCO (1), volume 3102 of Lecture Notes in Computer Science, page 1414-1425. Springer, (2004)Exploring Grammatical Modification with Modules in Grammatical Evolution., , , and . EuroGP, volume 6621 of Lecture Notes in Computer Science, page 310-321. Springer, (2011)Grammar Bias and Initialisation in Grammar Based Genetic Programming., , , , and . EuroGP, volume 7244 of Lecture Notes in Computer Science, page 85-96. Springer, (2012)Efficient Crossover in the GAuGE System., and . EuroGP, volume 3003 of Lecture Notes in Computer Science, page 125-137. Springer, (2004)Evolutionary Behavior Tree Approaches for Navigating Platform Games., , , and . IEEE Trans. Comput. Intellig. and AI in Games, 9 (3): 227-238 (2017)Towards Understanding and Refining the General Program Synthesis Benchmark Suite with Genetic Programming., , , and . CEC, page 1-6. IEEE, (2018)Choosing function sets with better generalisation performance for symbolic regression models., and . Genet. Program. Evolvable Mach., 22 (1): 73-100 (2021)Size Does Not Matter: Evolving Parameters for a Cayley Graph Visualiser Using 64 Bits., and . EvoMUSART, volume 8601 of Lecture Notes in Computer Science, page 38-49. Springer, (2014)