Considerations in Analyzing Ecological Dependent Populations in a Changing Environment

  • Kristiyan BalabanovEmail author
  • Robinson Guerra Fietz
  • Doina Logofătu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10448)


Simulation is often used during the development of a system to study the performance of a trial design. On the basis of information gained through this process, the design may be modified and retested. Thus, software offers the convenience of introducing changes or fixes without major effort, whereas it could be quite difficult or even impossible to modify an already built hardware for instance. Moreover, scenarios exist where a simulation offers not only the cheaper, but also the safer and ethically more acceptable solution as is the case with nearly any experiment involving live organisms. This paper summarizes the work done on the subject of simulating the dynamics between populations of various organisms that share an environment. The main goal is to introduce an application that visualizes comprehensively their interaction while offering means to conduct experiments with ecological nature.


Population dynamics simulation Ecological simulation Agent based modelling Predator/Prey relation 


  1. 1.
    Eiben, A.E., Smith, J.E.: Introduction to Evolutionary Computing. Springer, Heidelberg (2015)CrossRefGoogle Scholar
  2. 2.
    Law, A.M., David, K.W.: Simulation Modeling and Analysis. McGraw-Hill Higher Education, Boston (1997)Google Scholar
  3. 3.
    Begon, M., Mortimer, M., Thompson, D.J.: Population Ecology: A Unified Study of Animals and Plants. Wiley-Blackwell, Oxford (1996)CrossRefGoogle Scholar
  4. 4.
    Warschat, J., Wagner, F.: Einführung in die Simulationstechnik. Accessed 22 Mar 2017
  5. 5.
    Dewdney, A.K.: Solutions périodiques, du computer recreations: sharks and fish wage an ecological war on the toroidal planet Wa-Tor. Scientific American (1984)CrossRefGoogle Scholar
  6. 6.
    Norris, J.S.: Mission-critical development with open source software: lessons learned. IEEE Softw. 21(1), 42–49 (2004)CrossRefGoogle Scholar
  7. 7.
    Hoppensteadt, F.: Predator-prey model. Scholarpedia 1(10), 1563 (2006)CrossRefGoogle Scholar
  8. 8.
    Connelly, B.D., Zaman, L., McKinley, P.K.: The SEEDS platform for evolutionary and ecological simulations. In: Proceedings of the 14th Annual Conference Companion on Genetic and Evolutionary Computation, GECCO 2012, pp. 133–140. ACM (2012)Google Scholar
  9. 9.
    Gardner, M.: Mathematical Games - the fantastic combinations of John Conway’s new solitaire game “life”. Sci. Am. 223, 120–123 (1970)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Kristiyan Balabanov
    • 1
    Email author
  • Robinson Guerra Fietz
    • 1
  • Doina Logofătu
    • 1
  1. 1.Department of Computer Science and EngineeringFrankfurt University of Applied SciencesFrankfurt a.M.Germany

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