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111 - 120 von 605

	111	Compositional kernel learning using tree-based genetic programming for Gaussian process regression Enthalten in Structural and multidisciplinary optimization 18.5.2020: 1-39
	112	Enhancing Cartesian genetic programming through preferential selection of larger solutions Enthalten in Evolutionary intelligence 17.5.2020: 1-8
	113	A novel technique to self-adapt parameters in parallel/distributed genetic programming Enthalten in Soft computing 12.5.2020: 1-10
	114	Stock selection heuristics for performing frequent intraday trading with genetic programming Enthalten in Genetic programming and evolvable machines 30.4.2020: 1-38
	115	Pruning of genetic programming trees using permutation tests Enthalten in Evolutionary intelligence 20.4.2020: 1-13
	116	On the analysis of hyper-parameter space for a genetic programming system with iterated F-Race Enthalten in Soft computing 17.3.2020: 1-14
	117	Rule-centred genetic programming (RCGP): an imperialist competitive approach Enthalten in Applied intelligence 14.3.2020: 1-21
	118	Learning feature spaces for regression with genetic programming Enthalten in Genetic programming and evolvable machines 11.3.2020: 1-35
	119	Special issue on highlights of genetic programming 2019 events Enthalten in Genetic programming and evolvable machines 27.2.2020: 1-3
	120	Difficult first strategy GP: an inexpensive sampling technique to improve the performance of genetic programming Enthalten in Evolutionary intelligence 14.2.2020: 1-13

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