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 | 72 | 2014 |

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 | 41 | 2013 |

Review and comparative analysis of geometric semantic crossovers TP Pawlak, B Wieloch, K Krawiec Genetic Programming and Evolvable Machines 16 (3), 351-386, 2015 | 37 | 2015 |

Approximating geometric crossover by semantic backpropagation K Krawiec, T Pawlak Proceedings of the 15th annual conference on Genetic and evolutionary …, 2013 | 29 | 2013 |

Medial crossovers for genetic programming K Krawiec European Conference on Genetic Programming, 61-72, 2012 | 24 | 2012 |

Locally geometric semantic crossover K Krawiec, T Pawlak Proceedings of the 14th annual conference companion on Genetic and …, 2012 | 18 | 2012 |

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 | 17 | 2017 |

Competent algorithms for geometric semantic genetic programming TP Pawlak review. PhD thesis. Pozna’n, Poland: Poznan University of Technology, 2015 | 15 | 2015 |

Genetic programming: where meaning emerges from program code K Krawiec Genetic Programming and Evolvable Machines 15 (1), 75-77, 2014 | 11 | 2014 |

Competent geometric semantic genetic programming for symbolic regression and boolean function synthesis TP Pawlak, K Krawiec Evolutionary computation 26 (2), 177-212, 2018 | 10 | 2018 |

Quantitative analysis of locally geometric semantic crossover K Krawiec, T Pawlak International Conference on Parallel Problem Solving from Nature, 397-406, 2012 | 10 | 2012 |

Semantic geometric initialization TP Pawlak, K Krawiec European Conference on Genetic Programming, 261-277, 2016 | 9 | 2016 |

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 | 8 | 2018 |

Synthesis of mathematical programming constraints with genetic programming TP Pawlak, K Krawiec European Conference on Genetic Programming, 178-193, 2017 | 8 | 2017 |

Geometric semantic genetic programming is overkill TP Pawlak European Conference on Genetic Programming, 246-260, 2016 | 8 | 2016 |

Progress properties and fitness bounds for geometric semantic search operators TP Pawlak, K Krawiec Genetic Programming and Evolvable Machines 17 (1), 5-23, 2016 | 8 | 2016 |

Synthesis of mathematical programming models with one-class evolutionary strategies TP Pawlak Swarm and evolutionary computation 44, 335-348, 2019 | 7 | 2019 |

Combining semantically-effective and geometric crossover operators for genetic programming TP Pawlak International Conference on Parallel Problem Solving from Nature, 454-464, 2014 | 7 | 2014 |

Guarantees of progress for geometric semantic genetic programming TP Pawlak, K Krawiec Semantic Methods in Genetic Programming, Ljubljana, Slovenia 13, 2014 | 7 | 2014 |

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 | 6 | 2018 |