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Marek Kisiel-Dorohinicki
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2020 – today
- 2024
- [j42]Danuta Rutkowska, Piotr Duda, Jinde Cao, Maciej Jaworski
, Marek Kisiel-Dorohinicki
Probabilistic neural networks for incremental learning over time-varying streaming data with application to air pollution monitoring. Appl. Soft Comput. 161: 111702 (2024) - [j41]Grazyna Starzec
Ant colony optimization using two-dimensional pheromone for single-objective transport problems. J. Comput. Sci. 79: 102308 (2024) - 2023
- [j40]Ivan Laktionov
An Explainable AI Approach to Agrotechnical Monitoring and Crop Diseases Prediction in Dnipro Region of Ukraine. J. Artif. Intell. Soft Comput. Res. 13(4): 247-272 (2023) - [j39]Sylwia Bielaszek
Reproduction operators in solving LABS problem using EMAS meta-heuristic with various local optimization techniques. J. Inf. Telecommun. 7(1): 29-43 (2023) - [c73]Mohamad Soubra
Incident Detection with Pruned Residual Multilayer Perceptron Networks. FedCSIS 2023: 1143-1148 - [c72]Kamil Szarek, Wojciech Turek
Actor-Based Scalable Simulation of N-Body Problem. ICCS (2) 2023: 471-485 - [c71]Grazyna Starzec
Two-Dimensional Pheromone in Ant Colony Optimization. ICCCI 2023: 459-471 - 2022
- [j38]Jaroslaw Bilski, Bartosz Kowalczyk
Towards a Very Fast Feedforward Multilayer Neural Networks Training Algorithm. J. Artif. Intell. Soft Comput. Res. 12(3): 181-195 (2022) - [j37]Krystian Lapa
Multi-Population-Based Algorithm with an Exchange of Training Plans Based on Population Evaluation. J. Artif. Intell. Soft Comput. Res. 12(4): 239-253 (2022) - [j36]Marcin Gabryel
Detecting Anomalies in Advertising Web Traffic with the Use of the Variational Autoencoder. J. Artif. Intell. Soft Comput. Res. 12(4): 255-256 (2022) - [j35]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) - [c70]Dominik Zurek
A Deep Neural Network as a TABU Support in Solving LABS Problem. ICCS (1) 2022: 237-243 - [c69]Tymoteusz Dobrzanski
Neural-Network Based Adaptation of Variation Operators' Parameters for Metaheuristics. ICCS (1) 2022: 394-407 - [c68]Robert Brzoza-Woch, Tomasz Pelech-Pilichowski
Acquisition, Storing, and Processing System for Interdisciplinary Research in Earth Sciences. ICCS (4) 2022: 422-435 - [c67]Piotr Kipinski, Hubert Guzowski
Socio-cognitive Optimization of Time-delay Control Problems using Evolutionary Metaheuristics. IS 2022: 1-7 - [c66]Mateusz Nabywaniec, Hubert Guzowski
Socio-cognitive Optimization of Time-delay Control Problems using Agent-based Metaheuristics. IS 2022: 1-7 - [i4]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) - [i3]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
- [j34]Aleksander Byrski, Krzysztof Wegrzynski, Wojciech Radwanski, Grazyna Starzec
Population Diversity in Ant-inspired Optimization Algorithms. Comput. Sci. 22(3) (2021) - [j33]Wojciech Polnik, Jacek Stobiecki, Aleksander Byrski
Ant colony optimization-evolutionary hybrid optimization with translation of problem representation. Comput. Intell. 37(2): 891-923 (2021) - [c65]Albert Mosialek
Graph-Grammar Based Longest-Edge Refinement Algorithm for Three-Dimensional Optimally p Refined Meshes with Tetrahedral Elements. ICCS (4) 2021: 200-213 - [c64]Dominik Zurek
New Variants of SDLS Algorithm for LABS Problem Dedicated to GPGPU Architectures. ICCS (1) 2021: 206-212 - [c63]Aleksandra Urbanczyk
Socio-cognitive Evolution Strategies. ICCS (2) 2021: 329-342 - [c62]Sylwia Bielaszek
New Extensions of Reproduction Operators In solving LABS Problem Using EMAS Meta-Heuristic. ICCCI 2021: 304-316 - 2020
- [c61]Michal Idzik
Asynchronous Actor-Based Approach to Multiobjective Hierarchical Strategy. ICCS (3) 2020: 172-185 - [c60]Mateusz Godzik
Autonomous Hybridization of Agent-Based Computing. ICCCI 2020: 139-151
2010 – 2019
- 2019
- [j32]Michal Mizera, Pawel Nowotarski, Aleksander Byrski
Fine Tuning of Agent-Based Evolutionary Computing. J. Artif. Intell. Soft Comput. Res. 9(2): 81-97 (2019) - [j31]Mateusz Starzec
Distributed ant system for difficult transport problems. J. Intell. Fuzzy Syst. 37(6): 7347-7356 (2019) - [j30]Marek Kisiel-Dorohinicki:
Flexible and efficient agent-based metaheuristic computing. J. Intell. Fuzzy Syst. 37(6): 7567-7578 (2019) - [j29]Kamil Pietak, Dominik Zurek
Striving for performance of discrete optimisation via memetic agent-based systems in a hybrid CPU/GPU environment. J. Comput. Sci. 31: 151-162 (2019) - [j28]Grazyna Starzec
Towards Large-Scale Optimization of Iterated Prisoner Dilemma Strategies. Trans. Comput. Collect. Intell. 32: 167-183 (2019) - [c59]Mateusz Godzik, Bartlomiej Grochal, Jakub Piekarz, Mikolaj Sieniawski, Aleksander Byrski
Differential Evolution in Agent-Based Computing. ACIIDS (2) 2019: 228-241 - [c58]Aleksander Byrski
Socio-cognitive ACO in Multi-criteria Optimization. ICCS (2) 2019: 488-501 - 2018
- [j27]Aleksander Byrski
Emergence of Population Structure in~Socio-cognitively Inspired Ant~Colony Optimization. Comput. Sci. 19(1) (2018) - [j26]Mateusz Piech
Model for Dynamic and Hierarchical Data Repository in Relational Database. Comput. Sci. 19(4) (2018) - [j25]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) - [j24]Grazyna Skiba, Mateusz Starzec
Flexible asynchronous simulation of iterated prisoner's dilemma based on actor model. Simul. Model. Pract. Theory 83: 75-92 (2018) - [c57]Leszek Placzkiewicz, Marcin Sendera, Adam Szlachta, Mateusz Paciorek
Hybrid Swarm and Agent-Based Evolutionary Optimization. ICCS (2) 2018: 89-102 - [c56]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 - [j23]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) - [j22]Marcin Pietron, Aleksander Byrski
Leveraging heterogeneous parallel platform in solving hard discrete optimization problems with metaheuristics. J. Comput. Sci. 18: 59-68 (2017) - [j21]Wojciech Korczynski, Aleksander Byrski
Buffered local search for efficient memetic agent-based continuous optimization. J. Comput. Sci. 20: 112-117 (2017) - [j20]Aleksander Byrski
Socio-cognitively inspired ant colony optimization. J. Comput. Sci. 21: 397-406 (2017) - [j19]Wojciech Turek
Real-time metaheuristic-based urban crossroad management with multi-variant planning. J. Comput. Sci. 23: 240-248 (2017) - [j18]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) - [c55]Wojciech Korczynski, Marek Kisiel-Dorohinicki, Aleksander Byrski
Lamarckian and Lifelong Memetic Search in Agent-Based Computing. EvoApplications (1) 2017: 253-265 - [c54]Dominik Zurek
Toward hybrid platform for evolutionary computations of hard discrete problems. ICCS 2017: 877-886 - [c53]Michal Kowol, Kamil Pietak, Marek Kisiel-Dorohinicki, Aleksander Byrski
Agent-based Evolutionary and Memetic Black-box Discrete Optimization. ICCS 2017: 907-916 - [c52]Pawel Chorazyk, Mateusz Godzik, Kamil Pietak, Wojciech Turek
Lightweight Volunteer Computing Platform using Web Workers. ICCS 2017: 948-957 - 2016
- [j17]Agnieszka Pluwak
Adapting a Constituency Parser to User-Generated Content in Polish Opinion Mining. Comput. Sci. 17(1): 23-44 (2016) - [j16]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) - [j15]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) - [j14]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) - [c51]Ewelina Swiderska, Jakub Lasisz, Aleksander Byrski
Measuring Diversity of Socio-Cognitively Inspired ACO Search. EvoApplications (1) 2016: 393-408 - [c50]Leszek Siwik
Evolutionary Multiobjective Optimization of Liquid Fossil Fuel Reserves Exploitation with Minimizing Natural Environment Contamination. ICAISC (2) 2016: 384-394 - [c49]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 - [c48]Iwan Bugajski, Piotr Listkiewicz, Aleksander Byrski
Enhancing Particle Swarm Optimization with Socio-cognitive Inspirations. ICCS 2016: 804-813 - [c47]Wojciech Korczynski, Aleksander Byrski
Efficient Memetic Continuous Optimization in Agent-based Computing. ICCS 2016: 845-854 - 2015
- [j13]Daniel Krzywicki, Wojciech Turek, Aleksander Byrski
Massively concurrent agent-based evolutionary computing. J. Comput. Sci. 11: 153-162 (2015) - [j12]Aleksander Byrski
Evolutionary multi-agent systems. Knowl. Eng. Rev. 30(2): 171-186 (2015) - [c46]Mateusz Sekara, Michal Kowalski, Aleksander Byrski
Multi-pheromone ant Colony Optimization for Socio-cognitive Simulation Purposes. ICCS 2015: 954-963 - [c45]Marcin Pietron, Aleksander Byrski
GPGPU for Difficult Black-box Problems. ICCS 2015: 1023-1032 - [c44]Maciej Kazirod, Wojciech Korczynski, Elias Fernández
Agent-oriented Foraminifera Habitat Simulation. ICCS 2015: 1062-1071 - [i2]Daniel Krzywicki, Wojciech Turek, Aleksander Byrski, Marek Kisiel-Dorohinicki:
Massively-concurrent Agent-based Evolutionary Computing. CoRR abs/1501.06721 (2015) - 2014
- [j11]Joanna Kolodziej
Security, energy, and performance-aware resource allocation mechanisms for computational grids. Future Gener. Comput. Syst. 31: 77-92 (2014) - [j10]Daniel Krzywicki, Lukasz Faber, Aleksander Byrski
Computing agents for decision support systems. Future Gener. Comput. Syst. 37: 390-400 (2014) - [c43]Aleksander Byrski, Marek Kisiel-Dorohinicki:
Memetic Computing In Selected Agent-Based Evolutionary Systems. ECMS 2014: 495-500 - [c42]Lukasz Faber, Krzysztof Boryczko, Marek Kisiel-Dorohinicki:
Hybrid Architecture For Simulation Of Blood Flow With Foreign Bodies. ECMS 2014: 523-529 - [c41]Michal Kowol, Aleksander Byrski
Agent-based Evolutionary Computing for Difficult Discrete Problems. ICCS 2014: 1039-1047 - [c40]Daniel Krzywicki, Jan Stypka, Piotr Anielski, Lukasz Faber, Wojciech Turek, Aleksander Byrski
Generation-free Agent-based Evolutionary Computing. ICCS 2014: 1068-1077 - [i1]Daniel Krzywicki, Lukasz Faber, Aleksander Byrski, Marek Kisiel-Dorohinicki:
Computing Agents for Decision Support Systems. CoRR abs/1402.2793 (2014) - 2013
- [j9]Marek Kisiel-Dorohinicki:
Evolutionary Multi-Agent Systems in Non-Stationary Environments. Comput. Sci. 14(4): 563-576 (2013) - [j8]Kamil Pietak, Marek Kisiel-Dorohinicki:
Agent-Based Framework Facilitating Component-Based Implementation of Distributed Computational Intelligence Systems. Trans. Comput. Collect. Intell. 10: 31-44 (2013) - [c39]Daniel Krzywicki, Lukasz Faber, Kamil Pietak, Aleksander Byrski
Lightweight Distributed Component-Oriented Multi-Agent Simulation Platform. ECMS 2013: 469-476 - [c38]Magdalena Kolybacz, Michal Kowol, Lukasz Lesniak, Aleksander Byrski
Efficiency Of Memetic And Evolutionary Computing In Combinatorial Optimisation. ECMS 2013: 525-531 - [c37]Sebastian Pisarski, Adam Rugala, Aleksander Byrski, Marek Kisiel-Dorohinicki:
Evolutionary Multi-Agent System in Hard Benchmark Continuous Optimisation. EvoApplications 2013: 132-141 - [c36]Radoslaw Klimek, Lukasz Faber, Marek Kisiel-Dorohinicki:
Verifying data integration agents with deduction-based models. FedCSIS 2013: 1029-1035 - [c35]Jacek Dajda, Roman Debski
Multi-Domain Data Integration for Criminal Intelligence. ICMMI 2013: 345-352 - [c34]Radoslaw Klimek
Deduction-Based Modelling and Verification of Agent-Based Systems for Data Integration. ICMMI 2013: 361-368 - [c33]Aleksander Byrski
Agent-Based Approach to Continuous Optimisation. ICMMI 2013: 487-494 - [c32]Aleksander Byrski
Memetic Multi-Agent Computing in Difficult Continuous Optimisation. KES-AMSTA 2013: 181-190 - 2012
- [j7]Aleksander Byrski, Roman Debski, Marek Kisiel-Dorohinicki:
Agent-based computing in an augmented cloud environment. Comput. Syst. Sci. Eng. 27(1) (2012) - [c31]Edward Nawarecki, Grzegorz Dobrowolski, Jacek Dajda, Aleksander Byrski
Scenario-Driven System for Open Source Intelligence. MCSS 2012: 242-251 - [p3]Lukasz Faber, Kamil Pietak, Aleksander Byrski
Agent-Based Simulation in AgE Framework. Advances in Intelligent Modelling and Simulation 2012: 55-83 - [e1]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
- [c30]Edward Nawarecki, Grzegorz Dobrowolski, Aleksander Byrski
Agent-Based Integration of Data Acquired from Heterogeneous Sources. CISIS 2011: 473-477 - [c29]Aleksander Byrski
Agent-Based Meta-Heuristic Approach to Discrete Optimization. CISIS 2011: 508-512 - [c28]Wojciech Turek, Andrzej Opalinski
Extensible Web Crawler - Towards Multimedia Material Analysis. MCSS 2011: 183-190 - [p2]Aleksander Byrski
Hierarchical Multi-Agent System for Heterogeneous Data Integration. Intelligent Decision Systems in Large-Scale Distributed Environments 2011: 165-186 - 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) - [p1]Leszek Siwik
UML2SQL - A Tool for Model-Driven Development of Data Access Layer. Smart Information and Knowledge Management 2010: 227-246
2000 – 2009
- 2009
- [c27]Kamil Pietak, Adam Wos, Aleksander Byrski
Functional Integrity of Multi-agent Computational System Supported by Component-Based Implementation. HoloMAS 2009: 82-91 - [c26]Aleksander Byrski
Agent-Based Model and Computing Environment Facilitating the Development of Distributed Computational Intelligence Systems. ICCS (2) 2009: 865-874 - 2008
- [j5]Jaroslaw Kozlak, Grzegorz Dobrowolski, Marek Kisiel-Dorohinicki, Edward Nawarecki:
Anti-Crisis Management of City Traffic Using Agent-Based Approach. J. Univers. Comput. Sci. 14(14): 2359-2380 (2008) - [c25]Aleksander Byrski
User-Assisted Management of Agent-Based Evolutionary Computation. ICCS (3) 2008: 654-663 - [c24]Roman Debski
Maintaining Population Diversity in Evolution Strategy for Engineering Problems. IEA/AIE 2008: 379-387 - 2007
- [c23]Aleksander Byrski
Immunological Selection in Agent-Based Optimization of Neural Network Parameters. AWIC 2007: 62-67 - [c22]Leszek Siwik
Improving the Quality of the Pareto Frontier Approximation Obtained by Semi-elitist Evolutionary Multi-agent System Using Distributed and Decentralized Frontier Crowding Mechanism. ICANNGA (1) 2007: 138-147 - [c21]Aleksander Byrski, Marek Kisiel-Dorohinicki:
Agent-Based Evolutionary and Immunological Optimization. International Conference on Computational Science (2) 2007: 928-935 - [c20]Barbara Fusinska, Marek Kisiel-Dorohinicki, Edward Nawarecki:
Coevolution of a Fuzzy Rule Base for Classification Problems. RSEISP 2007: 678-686 - [c19]Jaroslaw Kozlak, Marek Kisiel-Dorohinicki, Edward Nawarecki:
Towards Agent-Based Evolutionary Planning in Transportation Systems. RSEISP 2007: 687-696 - 2006
- [j4]Edward Nawarecki, Marek Kisiel-Dorohinicki, Grzegorz Dobrowolski:
Architecture for Discovery of Crises in MAS. Fundam. Informaticae 71(1): 37-47 (2006) - [c18]Leszek Siwik
Semi-elitist Evolutionary Multi-agent System for Multiobjective Optimization. International Conference on Computational Science (3) 2006: 831-838 - [c17]Wojciech Froelich
Agent-Based Evolutionary Model for Knowledge Acquisition in Dynamical Environments. International Conference on Computational Science (3) 2006: 839-846 - [c16]Rafal Drezewski
Maintaining Diversity in Agent-Based Evolutionary Computation. International Conference on Computational Science (3) 2006: 908-911 - [c15]Aleksander Byrski
Comparing Energetic and Immunological Selection in Agent-Based Evolutionary Optimization. Intelligent Information Systems 2006: 3-10 - 2005
- [j3]Leszek Siwik, Marek Kisiel-Dorohinicki:
Elitism in agent-based evolutionary multiobjective optimization. Inteligencia Artif. 9(28): 41-48 (2005) - [j2]Piotr Bieganski, Aleksander Byrski, Marek Kisiel-Dorohinicki:
Multi-agent platform for Distributed Soft Computing. Inteligencia Artif. 9(28): 63-70 (2005) - [j1]Marek Kisiel-Dorohinicki, Grzegorz Dobrowolski, Edward Nawarecki:
Towards Agent-based Architecture of Distributed Knowledge-driven Information System. Inteligencia Artif. 9(28): 71-76 (2005) - [c14]Edward Nawarecki, Jaroslaw Kozlak, Grzegorz Dobrowolski, Marek Kisiel-Dorohinicki:
Discovery of Crises via Agent-Based Simulation of a Transportation System. CEEMAS 2005: 132-141 - [c13]Aleksander Byrski, Marek Kisiel-Dorohinicki:
Immune-Based Optimization of Predicting Neural Networks. International Conference on Computational Science (3) 2005: 703-710 - [c12]Aleksander Byrski, Marek Kisiel-Dorohinicki:
Immunological Selection Mechanism in Agent-Based Evolutionary Computation. Intelligent Information Systems 2005: 411-415 - 2004
- [c11]Marek Kisiel-Dorohinicki:
Flock-Based Architecture for Distributed Evolutionary Algorithms. ICAISC 2004: 841-846 - [c10]Marek Kisiel-Dorohinicki:
Agent-Based Models and Platforms for Parallel Evolutionary Algorithms. International Conference on Computational Science 2004: 646-653 - [c9]Marek Kisiel-Dorohinicki:
Monitoring in Multi-Agent Systems: Two Perspectives. MSRAS 2004: 563-570 - 2003
- [c8]Edward Nawarecki, Grzegorz Dobrowolski, Stanislaw Ciszewski, Marek Kisiel-Dorohinicki:
Ontology of Cooperating Agents by Means of Knowledge Components. CEEMAS 2003: 180-190 - [c7]Aleksander Byrski, Marek Kisiel-Dorohinicki:
Collective Intelligence from a Population of Evolving Neural Networks. IIS 2003: 401-410 - 2002
- [c6]Krzysztof Socha, Marek Kisiel-Dorohinicki:
Agent-based evolutionary multiobjective optimisation. IEEE Congress on Evolutionary Computation 2002: 109-114 - [c5]Arkadiusz Niemiec, Robert Rajak, Marek Kisiel-Dorohinicki:
Agent-based Fuzzy Classifier System. Intelligent Information Systems 2002: 67-76 - [c4]Pawel Skrzynski, Michal Turek, Bartlomiej Sniezynski, Marek Kisiel-Dorohinicki:
FIPA Compliant Agent-based Decentralized Expert System. Intelligent Information Systems 2002: 455-464 - [c3]Marek Kisiel-Dorohinicki:
Agent-Oriented Model of Simulated Evolution. SOFSEM 2002: 253-261 - 2001
- [c2]Edward Nawarecki, Marek Kisiel-Dorohinicki, Grzegorz Dobrowolski:
Organisations in the Particular Class of Multi-agent Systems. CEEMAS 2001: 207-216
1990 – 1999
- 1998
- [c1]Krzysztof Cetnarowicz, Grzegorz Dobrowolski, Marek Kisiel-Dorohinicki, Edward Nawarecki:
Functional Integrity of MAS through the Dynamics of the Agents' Population. ICMAS 1998: 405-406
Coauthor Index
[j41] [c72] [c71] [j35] [c69] [c67] [c66] [i4] [i3] [j34] [j33] [c63] [c61] [c60] [j32] [j31] [j28] [c59] [c58] [j27] [j26] [j25] [j24] [c57] [c56] [b1] [j23] [j22] [j21] [j20] [j19] [j18] [c55] [c53] [c52] [j16] [j15] [j14] [c51] [c50] [c49] [c48] [c47] [j13] [j12] [c46] [c45] [c44] [i2] [j10] [c43] [c41] [c40] [i1] [c39] [c38] [c37] [c33] [c32] [j7] [c31] [p3] [e1] [c30] [c29] [p2] [j6] [c27] [c26] [c25] [c23] [c21] [c15] [j2] [c13] [c12] [c7]
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