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Aleksander Byrski
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2020 – today
- 2024
- [j58]Mateusz Najdek
, Mateusz Paciorek
Three New Design Patterns for Scalable Agent-Based Computing and Simulation. Informatica 35(2): 379-400 (2024) - [j57]Grazyna Starzec
Ant colony optimization using two-dimensional pheromone for single-objective transport problems. J. Comput. Sci. 79: 102308 (2024) - [c72]Sylwia Bielaszek
Delays in Computing with Parallel Metaheuristics on HPC Infrastructure. ICCCI (2) 2024: 163-175 - 2023
- [j56]Ivan Laktionov
A novel approach to intelligent monitoring of gas composition and light mode of greenhouse crop growing zone on the basis of fuzzy modelling and human-in-the-loop techniques. Eng. Appl. Artif. Intell. 126: 106938 (2023) - [j55]Danuta Rutkowska
The L2 convergence of stream data mining algorithms based on probabilistic neural networks. Inf. Sci. 631: 346-368 (2023) - [j54]Krystian Lapa
A New Approach to Detecting and Preventing Populations Stagnation Through Dynamic Changes in Multi-Population-Based Algorithms. J. Artif. Intell. Soft Comput. Res. 13(4): 289-306 (2023) - [j53]Aleksandra Urbanczyk, Piotr Kipinski, Mateusz Nabywaniec, Leszek Rutkowski
Socio-cognitive caste-based optimization. J. Comput. Sci. 72: 102098 (2023) - [c71]Roman Senkerik
Maximizing Efficiency: A Comparative Study of SOMA Algorithm Variants and Constraint Handling Methods for Time Delay System Optimization. GECCO Companion 2023: 1821-1829 - [c70]Kamil Szarek, Wojciech Turek
Actor-Based Scalable Simulation of N-Body Problem. ICCS (2) 2023: 471-485 - [c69]Grazyna Starzec
Two-Dimensional Pheromone in Ant Colony Optimization. ICCCI 2023: 459-471 - [c68]Roman Senkerik, Aleksander Byrski, Hubert Guzowski
Efficient Time-Delay System Optimization with Auto-Configured Metaheuristics. SMC 2023: 1084-1089 - 2022
- [j52]Janusz T. Starczewski, Krzysztof Przybyszewski
A Novel Approach to Type-Reduction and Design of Interval Type-2 Fuzzy Logic Systems. J. Artif. Intell. Soft Comput. Res. 12(3): 197-206 (2022) - [j51]Marcin Zalasinski
Evolutionary Algorithm for Selecting Dynamic Signatures Partitioning Approach. J. Artif. Intell. Soft Comput. Res. 12(4): 267-279 (2022) - [j50]Nguyen Hung-Cuong
Combined YOLOv5 and HRNet for High Accuracy 2D Keypoint and Human Pose Estimation. J. Artif. Intell. Soft Comput. Res. 12(4): 281-298 (2022) - [j49]Mateusz Godzik, Jacek Dajda, Marek Kisiel-Dorohinicki, Aleksander Byrski, Leszek Rutkowski
Applying autonomous hybrid agent-based computing to difficult optimization problems. J. Comput. Sci. 64: 101858 (2022) - [j48]Szymon Szominski, Wojciech Turek
Socially-inspired fully decentralized robot coordination. Simul. Model. Pract. Theory 119: 102528 (2022) - [c67]Tymoteusz Dobrzanski
Neural-Network Based Adaptation of Variation Operators' Parameters for Metaheuristics. ICCS (1) 2022: 394-407 - [c66]Jacek Tchórzewski
Performance of Computing Hash-Codes with Chaotically-Trained Artificial Neural Networks. ICCS (1) 2022: 408-421 - [c65]Hubert Guzowski
Effective Parametric Optimization of Heating-Cooling Process with Optimum near the Domain Border. IS 2022: 1-6 - [c64]Piotr Kipinski, Hubert Guzowski
Socio-cognitive Optimization of Time-delay Control Problems using Evolutionary Metaheuristics. IS 2022: 1-7 - [c63]Mateusz Nabywaniec, Hubert Guzowski
Socio-cognitive Optimization of Time-delay Control Problems using Agent-based Metaheuristics. IS 2022: 1-7 - [i6]Piotr Kipinski, Hubert Guzowski, Aleksandra Urbanczyk, Maciej Smolka, Marek Kisiel-Dorohinicki, Aleksander Byrski, Zuzana Komínková Oplatková, Roman Senkerik, Libor Pekar, Radek Matusu, Frantisek Gazdos:
Socio-cognitive Optimization of Time-delay Control Problems using Evolutionary Metaheuristics. CoRR abs/2210.12872 (2022) - [i5]Mateusz Godzik, Jacek Dajda, Marek Kisiel-Dorohinicki, Aleksander Byrski, Leszek Rutkowski
Applying Autonomous Hybrid Agent-based Computing to Difficult Optimization Problems. CoRR abs/2210.13205 (2022) - 2021
- [j47]Aleksander Byrski, Krzysztof Wegrzynski, Wojciech Radwanski, Grazyna Starzec
Population Diversity in Ant-inspired Optimization Algorithms. Comput. Sci. 22(3) (2021) - [j46]Wojciech Polnik, Jacek Stobiecki, Aleksander Byrski
Ant colony optimization-evolutionary hybrid optimization with translation of problem representation. Comput. Intell. 37(2): 891-923 (2021) - [j45]Mateusz Paciorek
Validation of signal propagation modeling for highly scalable simulations. Concurr. Comput. Pract. Exp. 33(14) (2021) - [c62]Pawel Renc
Rapid prototyping of evolution-driven biclustering methods in Julia. GECCO Companion 2021: 61-62 - [c61]Pawel Renc
EBIC.JL: an efficient implementation of evolutionary biclustering algorithm in Julia. GECCO Companion 2021: 1540-1548 - [c60]Michal Idzik
Elitism in Multiobjective Hierarchical Strategy. ICCS (4) 2021: 214-228 - [c59]Mateusz Paciorek
Effective Car Collision Detection with Mobile Phone Only. ICCS (6) 2021: 303-317 - [c58]Aleksandra Urbanczyk
Socio-cognitive Evolution Strategies. ICCS (2) 2021: 329-342 - [e4]Aleksander Byrski
Computer Science Protecting Human Society Against Epidemics - First IFIP TC 5 International Conference, ANTICOVID 2021, Virtual Event, June 28-29, 2021, Revised Selected Papers. IFIP Advances in Information and Communication Technology 616, Springer 2021, ISBN 978-3-030-86581-8 [contents] - [i4]Pawel Renc, Patryk Orzechowski, Aleksander Byrski, Jaroslaw Was, Jason H. Moore:
EBIC.JL - an Efficient Implementation of Evolutionary Biclustering Algorithm in Julia. CoRR abs/2105.01196 (2021) - 2020
- [j44]Mateusz Starzec
Desynchronization in distributed Ant Colony Optimization in HPC environment. Future Gener. Comput. Syst. 109: 125-133 (2020) - [c57]Michal Idzik
Asynchronous Actor-Based Approach to Multiobjective Hierarchical Strategy. ICCS (3) 2020: 172-185 - [c56]Mateusz Godzik
Autonomous Hybridization of Agent-Based Computing. ICCCI 2020: 139-151 - [e3]Aleksander Byrski
Trends in Functional Programming - 21st International Symposium, TFP 2020, Krakow, Poland, February 13-14, 2020, Revised Selected Papers. Lecture Notes in Computer Science 12222, Springer 2020, ISBN 978-3-030-57760-5 [contents]
2010 – 2019
- 2019
- [j43]Michal Mizera, Pawel Nowotarski, Aleksander Byrski
Fine Tuning of Agent-Based Evolutionary Computing. J. Artif. Intell. Soft Comput. Res. 9(2): 81-97 (2019) - [j42]Mateusz Starzec
Distributed ant system for difficult transport problems. J. Intell. Fuzzy Syst. 37(6): 7347-7356 (2019) - [j41]Jakub Bujas, Dawid Dworak, Wojciech Turek
High-performance computing framework with desynchronized information propagation for large-scale simulations. J. Comput. Sci. 32: 70-86 (2019) - [j40]Michal Janczykowski, Wojciech Turek
Large-scale urban traffic simulation with Scala and high-performance computing system. J. Comput. Sci. 35: 91-101 (2019) - [j39]Mateusz Starzec
Distributed ant colony optimization based on actor model. Parallel Comput. 90 (2019) - [j38]Grazyna Starzec
Towards Large-Scale Optimization of Iterated Prisoner Dilemma Strategies. Trans. Comput. Collect. Intell. 32: 167-183 (2019) - [c55]Mateusz Godzik, Bartlomiej Grochal, Jakub Piekarz, Mikolaj Sieniawski, Aleksander Byrski
Differential Evolution in Agent-Based Computing. ACIIDS (2) 2019: 228-241 - [c54]Aleksander Byrski
Socio-cognitive ACO in Multi-criteria Optimization. ICCS (2) 2019: 488-501 - [c53]Wojciech Turek
Evolutionary Optimization of Intruder Interception Plans for Mobile Robot Groups. ICCS (1) 2019: 642-655 - [c52]Mateusz Paciorek
Active Safety for Individual and Connected Vehicles using Mobile Phone Only. MoMM 2019: 36-45 - [c51]Pawel Renc
HPC Large-Scale Pedestrian Simulation Based on Proxemics Rules. PPAM (2) 2019: 489-499 - 2018
- [j37]Aleksander Byrski
Emergence of Population Structure in~Socio-cognitively Inspired Ant~Colony Optimization. Comput. Sci. 19(1) (2018) - [j36]Michal Slaski, Wojciech Turek
Analysis of Distributed Systems Dynamics with Erlang Performance Lab. Comput. Sci. 19(2): 139-156 (2018) - [j35]Mateusz Piech
Model for Dynamic and Hierarchical Data Repository in Relational Database. Comput. Sci. 19(4) (2018) - [j34]Wojciech Turek, Aleksander Byrski
Special issue on Parallel and distributed computing based on the functional programming paradigm. Concurr. Comput. Pract. Exp. 30(22) (2018) - [j33]Aleksander Byrski
Special section on functional paradigm for high performance computing. Future Gener. Comput. Syst. 79: 643-644 (2018) - [j32]Jan Stypka, Wojciech Turek
The Missing Link! A New Skeleton for Evolutionary Multi-agent Systems in Erlang. Int. J. Parallel Program. 46(1): 4-22 (2018) - [j31]Grazyna Skiba, Mateusz Starzec
Flexible asynchronous simulation of iterated prisoner's dilemma based on actor model. Simul. Model. Pract. Theory 83: 75-92 (2018) - [c50]Leszek Placzkiewicz, Marcin Sendera, Adam Szlachta, Mateusz Paciorek
Hybrid Swarm and Agent-Based Evolutionary Optimization. ICCS (2) 2018: 89-102 - [c49]Maciej Gawel, Tomasz Jakubek, Aleksander Byrski
Evolutionary Multi-Agent System in Planning of Marine Trajectories. ICCCI (1) 2018: 319-328 - 2017
- [b1]Aleksander Byrski
Evolutionary Multi-Agent Systems - From Inspirations to Applications. Studies in Computational Intelligence 680, Springer 2017, ISBN 978-3-319-51387-4, pp. 3-194 - [j30]Wojciech Korczynski, Aleksander Byrski, Roman Debski
Classic and Agent-Based Evolutionary Heuristics for Shape Optimization of Rotating Discs. Comput. Informatics 36(2): 331-352 (2017) - [j29]Elias Fernández Domingos
Emerging Cooperation in N-Person Iterated Prisoner's Dilemma over Dynamic Complex Networks. Comput. Informatics 36(3): 493-516 (2017) - [j28]Piotr Blaszczyk, Wojciech Turek
Urban traffic simulation using credible driver modeling method. J. Intell. Fuzzy Syst. 32(2): 1535-1546 (2017) - [j27]Marcin Pietron, Aleksander Byrski
Leveraging heterogeneous parallel platform in solving hard discrete optimization problems with metaheuristics. J. Comput. Sci. 18: 59-68 (2017) - [j26]Wojciech Korczynski, Aleksander Byrski
Buffered local search for efficient memetic agent-based continuous optimization. J. Comput. Sci. 20: 112-117 (2017) - [j25]Aleksander Byrski
Socio-cognitively inspired ant colony optimization. J. Comput. Sci. 21: 397-406 (2017) - [j24]Wojciech Turek
Real-time metaheuristic-based urban crossroad management with multi-variant planning. J. Comput. Sci. 23: 240-248 (2017) - [j23]Aleksander Byrski, Marek Kisiel-Dorohinicki, Norbert Tusinski:
Extending Estimation of Distribution Algorithms with Agent-Based Computing Inspirations. Trans. Comput. Collect. Intell. 27: 191-207 (2017) - [c48]Wojciech Korczynski, Marek Kisiel-Dorohinicki, Aleksander Byrski
Lamarckian and Lifelong Memetic Search in Agent-Based Computing. EvoApplications (1) 2017: 253-265 - [c47]Aleksander Byrski
ICCS 2017 Workshop on Agent-Based Simulations, Adaptive Algorithms and Solvers. ICCS 2017: 796-797 - [c46]Michal Kowol, Kamil Pietak, Marek Kisiel-Dorohinicki, Aleksander Byrski
Agent-based Evolutionary and Memetic Black-box Discrete Optimization. ICCS 2017: 907-916 - [c45]Pawel Chorazyk, Mateusz Godzik, Kamil Pietak, Wojciech Turek
Lightweight Volunteer Computing Platform using Web Workers. ICCS 2017: 948-957 - 2016
- [j22]Jan Stypka, Piotr Anielski, Szymon Mentel, Daniel Krzywicki, Wojciech Turek, Aleksander Byrski
Parallel Patterns for Agent-based Evolutionary Computing. Comput. Sci. 17(1): 83-98 (2016) - [j21]Wojciech Turek, Roman Debski, Aleksander Byrski, Marek Kisiel-Dorohinicki:
Special Section on Functional Programming Paradigm and Its Applications. Comput. Informatics 35(4): 761-763 (2016) - [j20]Adam D. Barwell, Christopher Brown, Kevin Hammond, Wojciech Turek, Aleksander Byrski:
Using Program Shaping and Algorithmic Skeletons to Parallelise an Evolutionary Multi-Agent System in Erlang. Comput. Informatics 35(4): 792-818 (2016) - [j19]Wojciech Turek, Jan Stypka, Daniel Krzywicki, Piotr Anielski, Kamil Pietak, Aleksander Byrski
Highly scalable Erlang framework for agent-based metaheuristic computing. J. Comput. Sci. 17: 234-248 (2016) - [c44]Ewelina Swiderska, Jakub Lasisz, Aleksander Byrski
Measuring Diversity of Socio-Cognitively Inspired ACO Search. EvoApplications (1) 2016: 393-408 - [c43]Leszek Siwik
Evolutionary Multiobjective Optimization of Liquid Fossil Fuel Reserves Exploitation with Minimizing Natural Environment Contamination. ICAISC (2) 2016: 384-394 - [c42]Leszek Siwik
Hybridization of Isogeometric Finite Element Method and Evolutionary Multi-agent System as a Tool-set for Multiobjective Optimization of Liquid Fossil Fuel Reserves Exploitation with Minimizing Groundwater Contamination. ICCS 2016: 792-803 - [c41]Iwan Bugajski, Piotr Listkiewicz, Aleksander Byrski
Enhancing Particle Swarm Optimization with Socio-cognitive Inspirations. ICCS 2016: 804-813 - [c40]Wojciech Korczynski, Aleksander Byrski
Efficient Memetic Continuous Optimization in Agent-based Computing. ICCS 2016: 845-854 - 2015
- [j18]Daniel Krzywicki, Wojciech Turek, Aleksander Byrski
Massively concurrent agent-based evolutionary computing. J. Comput. Sci. 11: 153-162 (2015) - [j17]Aleksander Byrski
Evolutionary multi-agent systems. Knowl. Eng. Rev. 30(2): 171-186 (2015) - [c39]Mateusz Sekara, Michal Kowalski, Aleksander Byrski
Multi-pheromone ant Colony Optimization for Socio-cognitive Simulation Purposes. ICCS 2015: 954-963 - [c38]Marcin Pietron, Aleksander Byrski
GPGPU for Difficult Black-box Problems. ICCS 2015: 1023-1032 - [c37]Maciej Kazirod, Wojciech Korczynski, Elias Fernández
Agent-oriented Foraminifera Habitat Simulation. ICCS 2015: 1062-1071 - [c36]Piotr Blaszczyk, Wojciech Turek, Aleksander Byrski
Towards Credible Driver Behavior Modeling. ITSC 2015: 1557-1562 - [c35]Rafal Drezewski
Agent-Based Neuro-Evolution Algorithm. KES-AMSTA 2015: 95-108 - [c34]Grzegorz Dobrowolski, Aleksander Byrski
Agent-Based Multi-variant Crisis Handling Strategies for SCADA Systems. MCSS 2015: 61-71 - [c33]Pawel Topa
eVolutus: A New Platform for Evolutionary Experiments. PPAM (2) 2015: 570-580 - [i3]Daniel Krzywicki, Wojciech Turek, Aleksander Byrski, Marek Kisiel-Dorohinicki:
Massively-concurrent Agent-based Evolutionary Computing. CoRR abs/1501.06721 (2015) - 2014
- [j16]Daniel Krzywicki, Lukasz Faber, Aleksander Byrski
Computing agents for decision support systems. Future Gener. Comput. Syst. 37: 390-400 (2014) - [c32]Tamara Álvarez-López, Miguel Loureiro, José Covelo, Ana Peleteiro, Aleksander Byrski, Juan C. Burguillo:
Advantages Of Using Memetic Algorithms In The N-Person Iterated Prisoner's Dilemma Game. ECMS 2014: 333-339 - [c31]Aleksander Byrski, Marek Kisiel-Dorohinicki:
Memetic Computing In Selected Agent-Based Evolutionary Systems. ECMS 2014: 495-500 - [c30]Michal Kowol, Aleksander Byrski
Agent-based Evolutionary Computing for Difficult Discrete Problems. ICCS 2014: 1039-1047 - [c29]Daniel Krzywicki, Jan Stypka, Piotr Anielski, Lukasz Faber, Wojciech Turek, Aleksander Byrski
Generation-free Agent-based Evolutionary Computing. ICCS 2014: 1068-1077 - [c28]Maciej Kazirod, Wojciech Korczynski, Aleksander Byrski
Agent-Oriented Computing Platform in Python. WI-IAT (3) 2014: 365-372 - [i2]Daniel Krzywicki, Lukasz Faber, Aleksander Byrski, Marek Kisiel-Dorohinicki:
Computing Agents for Decision Support Systems. CoRR abs/1402.2793 (2014) - 2013
- [j15]Aleksander Byrski
Volunteer Computing Simulation using Repast and Mason. Comput. Sci. 14(1): 153-172 (2013) - [j14]Krzysztof Wróbel, Pawel Torba, Maciej Paszynski, Aleksander Byrski
Evolutionary Multi-Agent Computing in Inverse Problems. Comput. Sci. 14(3): 367-384 (2013) - [j13]Aleksander Byrski
Tuning of agent-based computing. Comput. Sci. 14(3): 491-512 (2013) - [j12]Joanna Kolodziej
Hierarchical genetic-based grid scheduling with energy optimization. Clust. Comput. 16(3): 591-609 (2013) - [j11]Aleksander Byrski
Markov Chain Based Analysis of Agent-Based Immunological System. Trans. Comput. Collect. Intell. 10: 1-15 (2013) - [c27]Daniel Krzywicki, Lukasz Faber, Kamil Pietak, Aleksander Byrski
Lightweight Distributed Component-Oriented Multi-Agent Simulation Platform. ECMS 2013: 469-476 - [c26]Magdalena Kolybacz, Michal Kowol, Lukasz Lesniak, Aleksander Byrski
Efficiency Of Memetic And Evolutionary Computing In Combinatorial Optimisation. ECMS 2013: 525-531 - [c25]Grzegorz Jankowski, Roman Debski, Aleksander Byrski
Extensible Volunteer Computing Platform. ECMS 2013: 532-537 - [c24]Sebastian Pisarski, Adam Rugala, Aleksander Byrski, Marek Kisiel-Dorohinicki:
Evolutionary Multi-Agent System in Hard Benchmark Continuous Optimisation. EvoApplications 2013: 132-141 - [c23]Aleksander Byrski
Markov Chain Analysis of Agent-Based Evolutionary Computing in Dynamic Optimization. ICCS 2013: 1475-1484 - [c22]Aleksander Byrski
Agent-Based Approach to Continuous Optimisation. ICMMI 2013: 487-494 - [c21]Aleksander Byrski
Memetic Multi-Agent Computing in Difficult Continuous Optimisation. KES-AMSTA 2013: 181-190 - [i1]Bogdan Gliwa, Anna Zygmunt, Aleksander Byrski:
Graphical Analysis of Social Group Dynamics. CoRR abs/1303.6088 (2013) - 2012
- [j10]Robert Schaefer, Aleksander Byrski
The island model as a Markov dynamic system. Int. J. Appl. Math. Comput. Sci. 22(4): 971-984 (2012) - [j9]Robert Schaefer, Aleksander Byrski
An agent-based model of hierarchic genetic search. Comput. Math. Appl. 64(12): 3763-3776 (2012) - [j8]Aleksander Byrski, Roman Debski, Marek Kisiel-Dorohinicki:
Agent-based computing in an augmented cloud environment. Comput. Syst. Sci. Eng. 27(1) (2012) - [c20]Bogdan Gliwa
Graphical analysis of social group dynamics. CASoN 2012: 41-46 - [c19]Aleksander Byrski
Agent-Based Simulation Of Volunteer Environment. ECMS 2012: 519-525 - [c18]Shinji Ogawa, Bipin Indurkhya, Aleksander Byrski:
A Meme-Based Architecture for Modeling Creativity. ICCC 2012: 170-174 - [c17]Edward Nawarecki, Grzegorz Dobrowolski, Jacek Dajda, Aleksander Byrski
Scenario-Driven System for Open Source Intelligence. MCSS 2012: 242-251 - [p2]Lukasz Faber, Kamil Pietak, Aleksander Byrski
Agent-Based Simulation in AgE Framework. Advances in Intelligent Modelling and Simulation 2012: 55-83 - [e2]Aleksander Byrski, Zuzana Oplatková, Marco Carvalho
Advances in Intelligent Modelling and Simulation - Simulation Tools and Applications. Studies in Computational Intelligence 416, Springer 2012, ISBN 978-3-642-28887-6 [contents] - 2011
- [j7]Bogdan Gliwa, Aleksander Byrski:
Hybrid Neuro-fuzzy Classifier Based on NEFCLASS Model. Comput. Sci. 12: 115-136 (2011) - [c16]Edward Nawarecki, Grzegorz Dobrowolski, Aleksander Byrski
Agent-Based Integration of Data Acquired from Heterogeneous Sources. CISIS 2011: 473-477 - [c15]Aleksander Byrski
Agent-Based Meta-Heuristic Approach to Discrete Optimization. CISIS 2011: 508-512 - [c14]Aleksander Byrski
Asymptotic Features Of Parallel Agent-Based Immunological System. ECMS 2011: 518-524 - [p1]Aleksander Byrski
Hierarchical Multi-Agent System for Heterogeneous Data Integration. Intelligent Decision Systems in Large-Scale Distributed Environments 2011: 165-186 - [e1]Tadeusz Burczynski, Joanna Kolodziej, Aleksander Byrski, Marco Carvalho:
25th European Conference on Modelling and Simulation, ECMS 2011, Krakow, Poland, June 7-10, 2011. European Council for Modeling and Simulation 2011, ISBN 978-0-9564944-2-9 [contents] - 2010
- [j6]Aleksander Byrski, Marek Kisiel-Dorohinicki, Marco Carvalho:
A Crisis Management Approach to Mission Survivability in Computational Multi-Agent Systems. Comput. Sci. 11: 99-114 (2010) - [j5]Aleksander Byrski
Adaptation of PyFlag to Efficient Analysis of Overtaken Computer Data Storage. J. Digit. Forensics Secur. Law 5(1): 49-62 (2010) - [c13]Aleksander Byrski
Asymptotic Analysis of Computational Multi-Agent Systems. PPSN (1) 2010: 475-484
2000 – 2009
- 2009
- [j4]Aleksander Byrski
Stochastic Model of Evolutionary and Immunological Multi-Agent Systems: Mutually Exclusive Actions. Fundam. Informaticae 95(2-3): 263-285 (2009) - [j3]Robert Schaefer, Aleksander Byrski
Stochastic Model of Evolutionary and Immunological Multi-Agent Systems: Parallel Execution of Local Actions. Fundam. Informaticae 95(2-3): 325-348 (2009) - [c12]Aleksander Byrski
Formal model for agent-based asynchronous evolutionary computation. IEEE Congress on Evolutionary Computation 2009: 78-85 - [c11]Kamil Pietak, Adam Wos, Aleksander Byrski
Functional Integrity of Multi-agent Computational System Supported by Component-Based Implementation. HoloMAS 2009: 82-91 - [c10]Aleksander Byrski
Agent-Based Model and Computing Environment Facilitating the Development of Distributed Computational Intelligence Systems. ICCS (2) 2009: 865-874 - 2008
- [j2]Stanislawa Kluska-Nawarecka, A. Smolarek-Grzyb, Aleksander Byrski, Dorota Wilk-Kolodziejczyk:
Optimization of Simulation Model parameters for solidification of metals with Use of Agent-Based Evolutionary Algorithm. Comput. Sci. 9: 55-66 (2008) - [c9]Aleksander Byrski
Agent-Based Immunological Intrusion Detection System for Mobile Ad-Hoc Networks. ICCS (3) 2008: 584-593 - [c8]Aleksander Byrski
User-Assisted Management of Agent-Based Evolutionary Computation. ICCS (3) 2008: 654-663 - 2007
- [c7]Aleksander Byrski
Immunological Selection in Agent-Based Optimization of Neural Network Parameters. AWIC 2007: 62-67 - [c6]Aleksander Byrski, Marek Kisiel-Dorohinicki:
Agent-Based Evolutionary and Immunological Optimization. International Conference on Computational Science (2) 2007: 928-935 - 2006
- [c5]Aleksander Byrski
Comparing Energetic and Immunological Selection in Agent-Based Evolutionary Optimization. Intelligent Information Systems 2006: 3-10 - 2005
- [j1]Piotr Bieganski, Aleksander Byrski, Marek Kisiel-Dorohinicki:
Multi-agent platform for Distributed Soft Computing. Inteligencia Artif. 9(28): 63-70 (2005) - [c4]Aleksander Byrski, Marek Kisiel-Dorohinicki:
Immune-Based Optimization of Predicting Neural Networks. International Conference on Computational Science (3) 2005: 703-710 - [c3]Aleksander Byrski, Marek Kisiel-Dorohinicki:
Immunological Selection Mechanism in Agent-Based Evolutionary Computation. Intelligent Information Systems 2005: 411-415 - 2004
- [c2]Aleksander Byrski, Jerzy Balamut:
Evolutionary Neural Networks in Collective Intelligent Predicting System. ICAISC 2004: 823-828 - 2003
- [c1]Aleksander Byrski, Marek Kisiel-Dorohinicki:
Collective Intelligence from a Population of Evolving Neural Networks. IIS 2003: 401-410
Coauthor Index
[j57] [c70] [c69] [j49] [c67] [c64] [c63] [i6] [i5] [j47] [j46] [c58] [c57] [c56] [j43] [j42] [j38] [c55] [c54] [j37] [j35] [j32] [j31] [c50] [c49] [b1] [j30] [j27] [j26] [j25] [j24] [j23] [c48] [c46] [c45] [j22] [j21] [j19] [c44] [c43] [c42] [c41] [c40] [j18] [j17] [c39] [c38] [c37] [i3] [j16] [c31] [c30] [c29] [i2] [c27] [c26] [c24] [c22] [c21] [j8] [c17] [p2] [e2] [c16] [c15] [p1] [j6] [c11] [c10] [c8] [c7] [c6] [c5] [j1] [c4] [c3] [c1]
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last updated on 2024-10-22 21:14 CEST by the dblp team
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