Stochastic model of evolutionary and immunological multi-agent systems: Parallel execution of local actions

Fundamenta Informaticae

Volumn 95, Issue 2-3, 2009, Pages 325-348

  Schaefer, Robert ^a   Byrski, Aleksander ^a   Smołka, MacIej ^b  

^a AGH UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Poland)

^b JAGIELLONIAN UNIVERSITY   (Poland)

Author keywords

Agent based computation; Multi agent systems; Stochastic modeling

Indexed keywords

AGENT-BASED COMPUTATION; BIOLOGICALLY INSPIRED; COMMUTATIVITY; MARKOV CHAIN; MARKOV MODEL; PARALLEL EXECUTIONS; PROBABILITY TRANSITION; REFINED MODEL; STOCHASTIC EVOLUTION; STOCHASTIC MODELING; SYNCHRONIZATION SCHEME; TRANSITION OPERATORS; TRANSITION RULE;

ASYMPTOTIC ANALYSIS; GENE EXPRESSION; MARKOV PROCESSES; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

MULTI AGENT SYSTEMS;

EID: 77049105406     PISSN: 01692968     EISSN: None     Source Type: Journal    
DOI: 10.3233/FI-2009-153     Document Type: Article

References (13)

1. Back, T., Hammel, U., Schwefel, H.-P.: Evolutionary computation: Comments on the history and current state, IEEE Trans. on Evolutionary Computation, 1(1), 1997.
2. Byrski, A., Kisiel-Dorohinicki, M.: Immunological selection mechanism in agent-based evolutionary computation, Intelligent Information Processing and Web Mining : proceedings of the international IIS: IIPWM '05 conference : Gdansk, Poland (M. A. Klopotek, S. T.Wierzchon, K. Trojanowski, Eds.), Advances in Soft Computing, Springer Verlag, 2005.
3. Byrski, A., Kisiel-Dorohinicki,M.: Agent-Based Evolutionary and Immunological Optimization, Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27 - 30, 2007, Proceedings, Springer, 2007.
4. Byrski, A., Kisiel-Dorohinicki,M., Nawarecki, E.: Agent-Based Evolution of Neural Network Architecture, Proc. of the IASTED Int. Symp.: Applied Informatics (M. Hamza, Ed.), IASTED/ACTA Press, 2002.
5. Byrski, A., Schaefer, R.: Immunological mechanism for asynchronous evolutionary computation boosting, ICMAM 2008 : European workshop on Intelligent Computational Methods and Applied Mathematics : an international forum for researches, teachers and students : Cracow, Poland, 2008.
6. Byrski, A., Schaefer, R.: Formal Model for Agent-Based Asynchronous Evolutionary Computation, Proceedings of IEEE Congress on Evolutionary Computation 2009 (IEEE CEC 2009), IEEE Computational Intelligence Society, IEEE Press, Trondheim, Norway, 18-21 May 2009.
7. Byrski, A., Schaefer, R.: Stochastic Model of Evolutionary and Immunological Multi-Agent Systems: Mutually Exclusive Actions, Fundamenta Informaticae, 94, 2009.
8. Cant́u-Paz, E.: A summary of research on parallel genetic algorithms, IlliGAL Report No. 95007. University of Illinois, 1995.
9. Cetnarowicz, K., Kisiel-Dorohinicki,M., Nawarecki, E.: The application of evolution process in multi-agent world (MAW) to the prediction system, Proc. of the 2nd Int. Conf. on Multi-Agent Systems (ICMAS'96) (M. Tokoro, Ed.), AAAI Press, 1996.
10. Jennings, N. R., Sycara, K., Wooldridge, M.: A Roadmap of Agent Research and Development, Journal of Autonomous Agents and Multi-Agent Systems, 1(1), 1998, 7-38.
11. Jennings, N. R., Wooldridge,M. J.: Software Agents, IEE Review, 1996, 17-20.
12. Kisiel-Dorohinicki, M.: Agent-Oriented Model of Simulated Evolution, SofSem 2002: Theory and Practice of Informatics (W. I. Grosky, F. Plasil, Eds.), 2540, Springer-Verlag, 2002.
13. Michalewicz, Z.: Genetic Algorithms Plus Data Structures Equals Evolution Programs, Springer-Verlag New York, Inc., Secaucus, NJ, USA, 1994, ISBN 0387580905.