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Liczba wyników
2015 | 5 | 489--493
Tytuł artykułu

New Proposed Implementation of ABC Method to Optimization of Water Capsule Flight

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The physical model of Water Capsule Flight is relatively simple but analytically unsolvable. The input data includes the mass of the capsule, velocity, altitude, aerodynamic coefficients of the capsule, and horizontal and vertical winds. The ABC optimization is focused on those attributes. This article is a part of the series dedicated to Inspired by Nature Methods of AI and their implementation in the mechatronic systems. A bag filled with water is an excellent source of explosion-produced water spray which can be used for extinguishing large fires or for other purposes. The paper presents theoretical models of flight of a bag filled with water, dropped from an aircraft moving horizontally. Results of numerical computations based on this model are compared with results of measurements for the trajectory of a bag dropped from a helicopter. A description of the experimental and numerical setup for this experiment are also discussed.(original abstract)
Słowa kluczowe
PL
Fizyka  
EN
Physics  
Rocznik
Tom
5
Strony
489--493
Opis fizyczny
Twórcy
  • Kazimierz Wielki University in Bydgoszcz, Institute of Technology, Poland
autor
  • Kazimierz Wielki University in Bydgoszcz, Institute of Technology, Poland
  • Kazimierz Wielki University in Bydgoszcz, Institute of Mechanics and Applied Computer Science Bydgoszcz, Poland
  • Systems Research Institute of the Polish Academy of Sciences
  • Kazimierz Wielki University in Bydgoszcz, Institute of Technology, Poland
Bibliografia
  • Angryk, R., Czerniak, J.: Heuristic algorithm for interpretation of multi-valued attributes in similarity-based fuzzy relational databases. International Journal of Approximate Reasoning 51(8), 895-911 (oct 2010)
  • Czerniak, J.: Evolutionary approach to data discretization for rough sets theory. Fundamenta Informaticae 1-2, 43-61 (2009)
  • Czerniak, J., Ewald, D., Macko, M.,Śmigielski, G., Tyszczuk, K.: Approach to the monitoring of energy consumption in eco-grinder based on abc optimization. Beyond Databases, Architectures and Structures pp. 516-529 (2015)
  • Czerniak, J., Apiecionek, L., Zarzycki, H.: Application of ordered fuzzy numbers in a new ofnant algorithm based on ant colony optimization. Communications in Computer and Information Science 424, 259-270 (2014)
  • Dygdała, R., Stefański, K., Śmigielski, G., Lewandowski, D., Kaczorowski, M.: Aerosol produced by explosive detonation. Measurement Automation and Monitoring 53(9), 357-360 (2007)
  • Ewald, D., Czerniak, J., Zarzycki, H.: Approach to solve a criteria problem of the abc algorithm used to the wbdp multicriteria optimization. Intelligent Systems' 2014 pp. 129-137 (2014)
  • Ganesan, P.K., Angryk, R., Banda, J., Wylie, T., Schuh, M.: Spatiotemporal co-occurrence rules, new trends in databases and information systems pp. 27-35
  • Gordon Leishman, J.: Principles of Helicopter Aerodynamics. Cambridge University Press (2002)
  • Karaboga, D., Basturk, B.: A powerful and efficient algorithm for numerical function optimization: Artificial bee colony (abc) algorithm. Journal of Global Optimization 39, 459-171 (2007)
  • Karaboga, D., Gorkemli, B.: A quick artificial bee colony (QABC) algorithm and its performance on optimization problems. Applied Soft Computing 23, 227-238 (2014)
  • Kowalski, P., Łukasik, S.: Experimental study of selected parameters of the krill herd algorithm. Intelligent Systems'2014: Proceedings of the 7th IEEE International Conference Intelligent Systems ISŠ2014 1, 473-477 (2014)
  • Liu, Z., Kim, A.K., Carpenter, D.: Extinguishment of large cooking oil pool fires by the use of water mist system. Combustion Institute/Canada Section, Spring Technical Meeting pp. 1-6 (may 2004)
  • Marbac-Lourdelle, M.: Model-based clustering for categorical and mixed data sets (2014)
  • Pluciński, M.: Mini-models-local regression models for the function approximation learning artificial intelligence and soft computing. Lecture Notes in Artificial Intelligence 7268 edited by L. Rutkowski et al pp. 160-167 (2012)
  • Reina, M.D., Trianni., V.: Towards a cognitive design pattern for collective decision-making. in swarm intelligence - proceedings of ants 2014 - ninth international conference. Lecture Notes in Computer Science 8667, 194-205 (2014)
  • Roeva, O., Slavov, T.: Firefly algorithm tuning of pid controller for glucose concentration control during e. coli fed-batch cultivation process. Proceedings of the Federated Conference on Computer Science and Information Systems p. 455U˝ 462 (2012)
  • Sameon, D., Shamsuddin, S., Sallehuddin, R., Zainal, A.: Compact classification of optimized boolean, reasoning with particle swarm optimization. Intelligent Data Analysis 16 IOS Press pp. 915-931 (2012)
  • Śmigielski, G., Dygdała, R.S., Lewandowski, D., Kunz, M., Stefański, K.: High precision delivery of a water capsule. theoretical model, numerical description, and control system. IMEKO XIX World Congress, Fundamental and Applied Metrology pp. 2208-2213 (2009)
  • Stebnovskii, S.V.: Pulsed dispersion as the critical regime of destruction of a liquid volume. Combustion, Explosion, and Shock Waves 44(2), 228-238 (2008)
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171422480

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