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ORCIDTomasz Pawlak
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- affiliation: Poznan University of Technology, Poland
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2020 – today
- 2022
[j12]Jedrzej Potoniec
, Daniel Sroka, Tomasz P. Pawlak:
Continuous discovery of Causal nets for non-stationary business processes using the Online Miner. Eur. J. Oper. Res. 303(3): 1304-1320 (2022)- 2021
- [j11]Tomasz P. Pawlak, Bartosz Litwiniuk:
Ellipsoidal one-class constraint acquisition for quadratically constrained programming. Eur. J. Oper. Res. 293(1): 36-49 (2021) - [j10]Tomasz P. Pawlak, Michael O'Neill:
Grammatical evolution for constraint synthesis for mixed-integer linear programming. Swarm Evol. Comput. 64: 100896 (2021) - 2020
- [c11]Marcin Karmelita, Tomasz P. Pawlak:
CMA-ES for one-class constraint synthesis. GECCO 2020: 859-867
2010 – 2019
- 2019
- [j9]Tomasz P. Pawlak:
Synthesis of Mathematical Programming models with one-class evolutionary strategies. Swarm Evol. Comput. 44: 335-348 (2019) - [j8]Tomasz P. Pawlak, Krzysztof Krawiec:
Synthesis of Constraints for Mathematical Programming With One-Class Genetic Programming. IEEE Trans. Evol. Comput. 23(1): 117-129 (2019) - 2018
- [j7]Patryk Kudla, Tomasz P. Pawlak:
One-class synthesis of constraints for Mixed-Integer Linear Programming with C4.5 decision trees. Appl. Soft Comput. 68: 1-12 (2018) - [j6]Tomasz P. Pawlak, Krzysztof Krawiec:
Competent Geometric Semantic Genetic Programming for Symbolic Regression and Boolean Function Synthesis. Evol. Comput. 26(2) (2018) - [c10]Daniel Sroka, Tomasz P. Pawlak:
One-class constraint acquisition with local search. GECCO 2018: 363-370 - [c9]Tomasz P. Pawlak:
Performance improvements for evolutionary strategy-based one-class constraint synthesis. GECCO 2018: 873-880 - 2017
- [j5]Tomasz P. Pawlak, Krzysztof Krawiec:
Automatic synthesis of constraints from examples using mixed integer linear programming. Eur. J. Oper. Res. 261(3): 1141-1157 (2017) - [c8]Tomasz P. Pawlak, Krzysztof Krawiec:
Synthesis of Mathematical Programming Constraints with Genetic Programming. EuroGP 2017: 178-193 - 2016
- [j4]Tomasz P. Pawlak, Krzysztof Krawiec:
Progress properties and fitness bounds for geometric semantic search operators. Genet. Program. Evolvable Mach. 17(1): 5-23 (2016) - [c7]Tomasz P. Pawlak:
Geometric Semantic Genetic Programming Is Overkill. EuroGP 2016: 246-260 - [c6]Tomasz P. Pawlak, Krzysztof Krawiec:
Semantic Geometric Initialization. EuroGP 2016: 261-277 - 2015
- [j3]Tomasz P. Pawlak, Bartosz Wieloch, Krzysztof Krawiec:
Review and comparative analysis of geometric semantic crossovers. Genet. Program. Evolvable Mach. 16(3): 351-386 (2015) - [j2]Tomasz P. Pawlak, Bartosz Wieloch, Krzysztof Krawiec:
Semantic Backpropagation for Designing Search Operators in Genetic Programming. IEEE Trans. Evol. Comput. 19(3): 326-340 (2015) - 2014
- [c5]Tomasz P. Pawlak:
Combining Semantically-Effective and Geometric Crossover Operators for Genetic Programming. PPSN 2014: 454-464 - 2013
- [j1]Krzysztof Krawiec, Tomasz Pawlak:
Locally geometric semantic crossover: a study on the roles of semantics and homology in recombination operators. Genet. Program. Evolvable Mach. 14(1): 31-63 (2013) - [c4]Krzysztof Krawiec, Tomasz Pawlak:
Approximating geometric crossover by semantic backpropagation. GECCO 2013: 941-948 - 2012
- [c3]Krzysztof Krawiec, Tomasz Pawlak:
Locally geometric semantic crossover. GECCO (Companion) 2012: 1487-1488 - [c2]Krzysztof Krawiec, Tomasz Pawlak:
Quantitative Analysis of Locally Geometric Semantic Crossover. PPSN (1) 2012: 397-406 - 2011
- [c1]Jerzy Brzezinski, Dariusz Dwornikowski, Michal Kalewski, Tomasz Pawlak, Michal Sajkowski:
MDL: Metrics Definition Language. ACIIDS (1) 2011: 248-256
Coauthor Index
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