Neuroevolution of mobile ad hoc Networks

Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10

Volumn , Issue , 2010, Pages 603-610

  Knoester, David B ^a   Goldsby, Heather J ^a   McKinley, Philip K ^a  

^a Michigan State University   (United States)

Author keywords

Developmental; Distributed systems; Generative; Mobile ad hoc networks; Neural network; Neuroevolution

Indexed keywords

ARTIFICIAL NEURAL NETWORKS; COLLECTIVE BEHAVIOR; DEVELOPMENTAL; DIRECT ENCODING; DISTRIBUTED SYSTEMS; ENCODINGS; GENERATIVE; NATURAL SELECTION; NEURO-EVOLUTIONARY SYSTEMS; NEUROEVO-LUTION; PROBLEM DOMAIN;

ENCODING (SYMBOLS); MOBILE AD HOC NETWORKS; MOBILE AGENTS; MOBILE TELECOMMUNICATION SYSTEMS; NEURAL NETWORKS; TELECOMMUNICATION LINKS; TELECOMMUNICATION NETWORKS;

AD HOC NETWORKS;

EID: 77955896076     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1830483.1830594     Document Type: Conference Paper

References (25)

1. D. H. Owings and E. S.Morton, Animal Vocal Communication: A New Approach. Cambridge University Press, 1998.
2. C. M. Waters andB. L. Bassler, "Quorum sensing: Cell-to-cell communication in bacteria," Annual Review of Cell and Developmental Biology, vol. 21, no. 1, 2005.
3. B. Holldobler andE. O. Wilson, The Ants. Harvard University Press, 1990.
4. S. Camazine, J. Deneubourg, N. Franks, J. Sneyd, G. Theraula, and E. Bonabeau, Self-organization in biological systems. Princeton University Press, 2003.
5. G. Weiss, ed., Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence. MIT Press, 1999.
6. W. Ren andR. W. Beard, Distributed Consensus in Multi-vehicle Cooperative Control: Theory and Applications. Springer, 2007.
7. C. Yong and R. Miikkulainen, "Cooperative coevolution of multi-agent systems," Tech. Rep. AI-01-287, University of Texas at Austin, Austin, TX, February 2001.
8. M. Waibel, L. Keller, and D. Floreano, "Genetic Team Composition and Level of Selection in the Evolution of Cooperation," IEEE Transactions on Evolutionary Computation, vol. 13, no. 3, 2009.
9. W. Wolf, "Cyber-physical systems," IEEE Computer, vol. 42, no. 3, 2009.
10. K. O. Stanley and R. Miikkulainen, "Evolving neural networks through augmenting topologies," Evolutionary Computation, vol. 10, no. 2, 2002.
11. K. O. Stanley, D. B. D'Ambrosio, and J. Gauci, "A hypercube-based indirect encoding for evolving large-scale neural networks," Artificial Life, vol. 15, no. 2, 2009.
12. D. B. D'Ambrosio andK. O. Stanley, "Generative encoding for multiagent learning," in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), 2008.
13. L. Panait and S. Luke, "Cooperative multi-agent learning: The state of the art," Autonomous Agents and Multi-Agent Systems, vol. 11, no. 3, 2005.
14. C. Cassandras and W. Li, "Sensor networks and cooperative control," European Journal of Control, vol. 11, no. 4-5, 2005.
15. J. C. Bongard, "The Legion System: A novel approach to evolving hetrogeneity for collective problem solving," in Proceedings of the European Conference on Genetic Programming, pp. 16-28, 2000.
16. D. Floreano, S. Mitri, S. Magnenat, and L. Keller, "Evolutionary conditions for the emergence of communication in robots," Current Biology, vol. 17, no. 6, 2007.
17. M. Dorigo, V. Trianni, E. Şahin, R. Groß, T. H. Labella, G. Baldassarre, S. Nolfi, J.-L. Deneubourg, F. Mondada, D. Floreano, andL. M. Gambardella, "Evolving self-organizing behaviors for a swarm-bot," Autonomous Robots, vol. 17, no. 2, 2004.
18. G. Baldassarre, D. Parisi, and S. Nolfi, "Coordination and behavior integration in cooperating simulated robots," in Proceedings of the Conference on Simulation of Adaptive Behavior, 2004.
19. K. Stanley, B. Bryant, and R. Miikkulainen, "Real-time neuroevolution in the NERO video game," IEEE Transactions on Evolutionary Computation, vol. 9, no. 6, 2005.
20. B. D. Bryant and R. Miikkulainen, "Neuroevolution for adaptive teams," in Proceedings of the IEEE Congress on Evolutionary Computation, vol. 3, 2003.
21. S. Hauert, J.-C. Zufferey, and D. Floreano, "Evolved swarming without positioning information: an application in aerial communication relay," Autonomous Robots, vol. 26, no. 1, 2009.
22. D. B. D'Ambrosio, J. Lehman, S. Risi, andK. O. Stanley, "Evolving policy geometry for scalable multiagent learning," in Proceedings of the Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2010.
23. J. Clune, C. Ofria, and R. Pennock, "How a generative encoding fares as problem-regularity decreases," in Proceedings of the Conference on Parallel Problem Solving From Nature (PPSN), 2008.
24. J. Clune, C. Ofria, and R. Pennock, "The sensitivity of HyperNEAT to different geometric representations of a problem," in Proceedings of the Conference on Genetic and Evolutionary Computation (GECCO), 2009.
25. D. B. Knoester, H. J. Goldsby, andP. K. McKinley, "Evolution of controllers for mobile ad hoc networks," Tech. Rep. MSU-CSE-10-9, Computer Science and Engineering, Michigan State University, East Lansing, Michigan, April 2010.