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Exact Schema Theorems for GP with One-Point and Standard Crossover Operating on Linear Structures and Their Application to the Study of the Evolution of Size.

, and . EuroGP, volume 2038 of Lecture Notes in Computer Science, page 126-142. Springer, (2001)

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Solving High-Order Boolean Parity Problems with Smooth Uniform Crossover, Sub-Machine Code GP and Demes., and . Genet. Program. Evolvable Mach., 1 (1/2): 37-56 (2000)Generalisation of the limiting distribution of program sizes in tree-based genetic programming and analysis of its effects on bloat., and . GECCO, page 1588-1595. ACM, (2007)Limitations of the fitness-proportional negative slope coefficient as a difficulty measure., , and . GECCO, page 1877-1878. ACM, (2009)Free lunches for neural network search., and . GECCO, page 1291-1298. ACM, (2009)The impact of population size on code growth in GP: analysis and empirical validation., , and . GECCO, page 1275-1282. ACM, (2008)Evolving timetabling heuristics using a grammar-based genetic programming hyper-heuristic framework., , and . Memetic Computing, 1 (3): 205-219 (2009)An empirical investigation of how and why neutrality affects evolutionary search., and . GECCO, page 1149-1156. ACM, (2006)A collaborative Brain-Computer Interface for improving group detection of visual targets in complex natural environments., , and . NER, page 25-28. IEEE, (2015)A New Continuous Propositional Logic., , and . EPIA, volume 990 of Lecture Notes in Computer Science, page 17-28. Springer, (1995)Genetic Programming for Feature Detection and Image Segmentation.. Evolutionary Computing, AISB Workshop, volume 1143 of Lecture Notes in Computer Science, page 110-125. Springer, (1996)