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Dreżewski Rafał, dr hab. inż., prof. AGH

WI-ii Instytut Informatyki

Wydział Informatyki

informatyka
50
50
informatyka techniczna i telekomunikacja
drezew@agh.edu.pl
Habilitacja
Biologicznie inspirowane systemy wieloagentowe
Wydział:
AGH Wydział Informatyki, Elektroniki i Telekomunikacji
Dziedzina:
nauki inżynieryjno-techniczne
Data uchwały Rady Wydziału:
13.06.2019
Stopień naukowy:
dr hab. nauk inżynieryjno-technicznych
Dyscyplina:
informatyka techniczna i telekomunikacja
Słowa kluczowe:
systemy wieloagentowe
Uwagi:
Rozprawę habilitacyjną stanowi cykl 16 publikacji: [1] Dreżewski R. (2018). The agent-based model and simulation of sexual selection and pair formation mechanisms. Entropy vol. 20 iss. 5 art. no. 342, s. 1-30 ; [2] Dreżewski R., Dziuban G., Pająk K. (2018). The bio-inspired optimization of trading strategies and its impact on the efficient market hypothesis and sustainable development strategies. Sustainability vol. 10 iss. 5 art. no. 1460, s. 1-45 ; [3] Dreżewski R., Kruk S., Makówka M. (2018). The evolutionary optimization of a company's return on equity factor: towards the agent-based bio-inspired system supporting corporate finance decisions. IEEE Access vol. 6, s. 51911-51930 ; [4] Dreżewski R., Doroz K. (2017). An agent-based co-evolutionary multi-objective algorithm for portfolio optimization. Symmetry vol. 9 iss. 9 art. no. 168, s. 1-31 ; [5] Byrski A., [et al.] (2015). Evolutionary multi-agent systems. The Knowledge Engineering Review vol. 30 spec. iss. 2, s. 171-186 ; [6] Cetnarowicz K., Dreżewski R. (2010). Maintaining functional integrity in multi-agent systems for resource allocation. Computing and Informatics vol. 29, s. 947-973 ; [7] Dreżewski R. (2006). Co-evolutionary multi-agent system with speciation and resource sharing mechanisms. Slovak Academy of Sciences. Institute of Informatics vol. 25 no. 4, s. 305-331 ; [8] Dreżewski R., Kisiel-Dorohinicki M. (2006). Maintaining diversity in agent-based evolutionary computation. W: Computational Science - ICCS 2006, 6th International Conference reading, UK, May 28-31, 2006, proceedings, Pt. 3. Eds. V. N. Alexandrov, [et al.]. Berlin, Heidelberg: Springer-Verlag, s. 908-911. Lecture Notes in Computer Science, 3993 ; [9] Dreżewski R., Siwik L. (2006). Multi-objective optimization using co-evolutionary multi-agent system with host-parasite mechanism. W: Computational Science - ICCS 2006, 6th International Conference reading, UK, May 28-31, 2006, proceedings, Pt. 3. Eds. V. N. Alexandrov, [et al.]. Berlin, Heidelberg: Springer-Verlag, s. 871-878. Lecture Notes in Computer Science, 3993 ; [10] Siwik L., Dreżewski R. (2016). Hierarchical and massively interactive approaches for hybridization of evolutionary computations and agent systems - comparison in financial application. W: Artificial intelligence and soft computing, 15th international conference, ICAISC 2016, Zakopane, Poland, June 12-16, 2016, proceedings, Pt. 1. Eds. L. Rutkowski, [et al.]. Switzerland: Springer International Publishing, s. 505-516. Lecture Notes in Artificial Intelligence, 9692 ; [11] Dreżewski R. (2015). Agent-based simulation model of sexual selection mechanism. W: Agent and multi-agent systems: technologies and applications, 9th KES international conference, KES-AMSTA 2015, Sorrento, Italy, June 17-19, 2015, proceedings. Eds. G. Jezic, R. J. Howlett, L. C. Jain. Cham: Springer International Publishing, s. 155-166. Smart Innovation, Systems and Technologies, 38 ; [12] Dreżewski R., Obrocki K., Siwik L. (2010). Agent-based co-operative co-evolutionary algorithms for multi-objective portfolio optimization. W: Natural computing in computational finance, vol. 3. Eds. A. Brabazon, M. O'Neill, D. G. Maringer. Berlin; Heidelberg: Springer-Verlag, s. 63-84. Studies in Computational Intelligence, 293 ; [13] Dreżewski R., Sepielak J., Siwik L. (2009). Classical and agent-based evolutionary algorithms for investment strategies generation. W: Natural computing in computational finance, vol. 2. Eds. A. Brabazon, M. O'Neill. Berlin; Heidelberg: Springer-Verlag, s. 181-205. Studies in Computational Intelligence, 185 ; [14] Dreżewski R., Siwik L. (2008). Agent-based multi-objective evolutionary algorithm with sexual selection. W: Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2008, June 1-6, 2008, Hong Kong, China. Piscataway: IEEE, s. 3679-3684 ; [15] Dreżewski R., Siwik L. (2008). Co-evolutionary multi-agent system for portfolio optimization. W: Natural computing in computational finance. Eds. A. Brabazon, M. O'Neill. Berlin, Heidelberg: Springer-Verlag, s. 271-299 ; [16] Dreżewski R. (2011). Agent-Based Modeling and Simulation of Species Formation Processes. W: Multi-agent systems - modeling, interactions, simulations and case studies. Eds. F. Al-khateeb, E. Al Maghayreh, I. Abu Doush. Rijeka: InTech, s. 3-28.