Tomasz Pawlak
TitleCited byYear
Semantic backpropagation for designing search operators in genetic programming
TP Pawlak, B Wieloch, K Krawiec
IEEE Transactions on Evolutionary Computation 19 (3), 326-340, 2014
642014
Locally geometric semantic crossover: a study on the roles of semantics and homology in recombination operators
K Krawiec, T Pawlak
Genetic Programming and Evolvable Machines 14 (1), 31-63, 2013
382013
Review and comparative analysis of geometric semantic crossovers
TP Pawlak, B Wieloch, K Krawiec
Genetic Programming and Evolvable Machines 16 (3), 351-386, 2015
352015
Medial crossovers for genetic programming
K Krawiec
European Conference on Genetic Programming, 61-72, 2012
33*2012
Approximating geometric crossover by semantic backpropagation
K Krawiec, T Pawlak
Proceedings of the 15th annual conference on Genetic and evolutionary …, 2013
272013
Locally geometric semantic crossover
K Krawiec, T Pawlak
Proceedings of the 14th annual conference companion on Genetic and …, 2012
142012
Competent algorithms for geometric semantic genetic programming
TP Pawlak
review. PhD thesis. Pozna’n, Poland: Poznan University of Technology, 2015
132015
Automatic synthesis of constraints from examples using mixed integer linear programming
TP Pawlak, K Krawiec
European Journal of Operational Research 261 (3), 1141-1157, 2017
92017
Quantitative analysis of locally geometric semantic crossover
K Krawiec, T Pawlak
International Conference on Parallel Problem Solving from Nature, 397-406, 2012
92012
Semantic geometric initialization
TP Pawlak, K Krawiec
European Conference on Genetic Programming, 261-277, 2016
82016
Geometric semantic genetic programming is overkill
TP Pawlak
European Conference on Genetic Programming, 246-260, 2016
82016
Progress properties and fitness bounds for geometric semantic search operators
TP Pawlak, K Krawiec
Genetic Programming and Evolvable Machines 17 (1), 5-23, 2016
82016
Combining semantically-effective and geometric crossover operators for genetic programming
TP Pawlak
International Conference on Parallel Problem Solving from Nature, 454-464, 2014
72014
Guarantees of progress for geometric semantic genetic programming
TP Pawlak, K Krawiec
Semantic Methods in Genetic Programming, Ljubljana, Slovenia 13, 2014
72014
One-class synthesis of constraints for Mixed-Integer Linear Programming with C4. 5 decision trees
P Kudła, TP Pawlak
Applied Soft Computing 68, 1-12, 2018
62018
Competent geometric semantic genetic programming for symbolic regression and boolean function synthesis
TP Pawlak, K Krawiec
Evolutionary computation 26 (2), 177-212, 2018
62018
Synthesis of mathematical programming constraints with genetic programming
TP Pawlak, K Krawiec
European Conference on Genetic Programming, 178-193, 2017
62017
Synthesis of mathematical programming models with one-class evolutionary strategies
TP Pawlak
Swarm and evolutionary computation 44, 335-348, 2019
52019
Synthesis of Constraints for Mathematical Programming with One-Class Genetic Programming
TP Pawlak, K Krawiec
IEEE Transactions on Evolutionary Computation 23 (1), 117-129, 2018
42018
Automated design of semantically smooth instructions spaces for genetic programming
T Pawlak
Master’s thesis, Poznań University of Technology, Faculty of Computing …, 2011
22011
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Articles 1–20