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2020 – today
- 2024
[j20]Tomasz Praczyk
:
Using Hill Climb Assembler Encoding neural networks to control follower vehicles in an underwater swarm. Appl. Soft Comput. 160: 111647 (2024)- 2023
- [j19]Tomasz Praczyk:
Emerging Modularity During the Evolution of Neural Networks. J. Artif. Intell. Soft Comput. Res. 13(2): 107-126 (2023) - [j18]Tomasz Praczyk:
Neural control system for a swarm of autonomous underwater vehicles. Knowl. Based Syst. 276: 110783 (2023) - 2022
- [j17]Tomasz Praczyk:
Using Hill Climb Modular Assembler Encoding and Differential Evolution to evolve modular neuro-controllers of an autonomous underwater vehicle acting as a Magnetic Anomaly Detector. Appl. Soft Comput. 127: 109347 (2022) - 2021
- [j16]Tomasz Praczyk:
Hill Climb Modular Assembler Encoding: Evolving Modular Neural Networks of fixed modular architecture. Knowl. Based Syst. 232: 107493 (2021) - 2020
- [j15]Tomasz Praczyk:
Using Neuro-Evolutionary Techniques to Tune Odometric Navigational System of Small Biomimetic Autonomous Underwater Vehicle - Preliminary Report. J. Intell. Robotic Syst. 100(1): 363-376 (2020) - [j14]Tomasz Praczyk:
Neural collision avoidance system for biomimetic autonomous underwater vehicle. Soft Comput. 24(2): 1315-1333 (2020)
2010 – 2019
- 2019
- [j13]Tomasz Praczyk:
Ship trajectory anomaly detection. Intell. Data Anal. 23(5): 1021-1040 (2019) - 2018
- [j12]Tomasz Praczyk:
Detection of Land in Marine Images. Int. J. Comput. Intell. Syst. 12(1): 273-281 (2018) - 2016
- [j11]Tomasz Praczyk:
Cooperative co-evolutionary neural networks. J. Intell. Fuzzy Syst. 30(5): 2843-2858 (2016) - 2015
- [j10]Tomasz Praczyk:
Neural anti-collision system for Autonomous Surface Vehicle. Neurocomputing 149: 559-572 (2015) - [j9]Tomasz Praczyk:
Using evolutionary neural networks to predict spatial orientation of a ship. Neurocomputing 166: 229-243 (2015) - 2014
- [j8]Tomasz Praczyk:
Solving the pole balancing problem by means of assembler encoding. J. Intell. Fuzzy Syst. 26(2): 857-868 (2014) - [j7]Tomasz Praczyk:
Using augmenting modular neural networks to evolve neuro-controllers for a team of underwater vehicles. Soft Comput. 18(12): 2445-2460 (2014) - 2012
- [c2]Piotr Szymak, Tomasz Praczyk:
Using neural-evolutionary-fuzzy algorithm for anti-collision system of Unmanned Surface Vehicle. MMAR 2012: 286-290 - [c1]Tomasz Praczyk, Piotr Szymak:
Using genetic algorithms to fix a route for an Unmanned Surface Vehicle. MMAR 2012: 487-492 - 2011
- [j6]Tomasz Praczyk:
Forming Neural Networks by Means of Assembler Encoding-Preliminary Report. Intell. Autom. Soft Comput. 17(3): 319-331 (2011) - [j5]Tomasz Praczyk, Piotr Szymak:
Decision system for a team of autonomous underwater vehicles - Preliminary report. Neurocomputing 74(17): 3323-3334 (2011) - 2010
- [j4]Tomasz Praczyk:
Using Real Valued Detectors in Ship Immune System. Comput. Informatics 29(6): 975-987 (2010)
2000 – 2009
- 2009
- [j3]Tomasz Praczyk:
Using Assembler Encoding to Solve Inverted Pendulum Problem. Comput. Informatics 28(6): 895-912 (2009) - 2007
- [j2]Tomasz Praczyk:
Application of Bearing and Distance Trees to the Identification of Landmarks on the Coast. Int. J. Appl. Math. Comput. Sci. 17(1): 87-97 (2007) - [j1]Tomasz Praczyk:
Evolving Co-Adapted Subcomponents in Assembler Encoding. Int. J. Appl. Math. Comput. Sci. 17(4): 549-563 (2007)
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