dc.creatorMichelan R.
dc.creatorVon Zuben F.J.
dc.date2002
dc.date2015-06-30T16:45:08Z
dc.date2015-11-26T15:37:27Z
dc.date2015-06-30T16:45:08Z
dc.date2015-11-26T15:37:27Z
dc.date.accessioned2018-03-28T22:45:51Z
dc.date.available2018-03-28T22:45:51Z
dc.identifier0780372824; 9780780372825
dc.identifierProceedings Of The 2002 Congress On Evolutionary Computation, Cec 2002. Ieee Computer Society, v. 2, n. , p. 1021 - 1026, 2002.
dc.identifier
dc.identifier10.1109/CEC.2002.1004383
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-33744933526&partnerID=40&md5=3438562d54ecf3cff2ddef9d622001cb
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/101919
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/101919
dc.identifier2-s2.0-33744933526
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1263646
dc.descriptionThis paper investigates an autonomous control system of a mobile robot based on the immune network theory. The immune network navigates the robot to solve a multiobjective task, namely, garbage collection: the robot must find and collect garbage, while it establishes a trajectory without colliding with obstacles, and return to the base before it runs out of energy. Each network node corresponds to a specific antibody and describes a particular control action for the robot. The antigens are the current state of the robot, read from a set of internal and external sensors. The network dynamics corresponds to the variation of antibody concentration levels, which change according to both mutual interaction of antibody nodes and of antibodies and antigens. It is proposed an evolutionary mechanism to determine the network configuration, that is, the parameters that define those interactions. Simulation results suggest that the proposal presented is very promising. © 2002 IEEE.
dc.description2
dc.description
dc.description1021
dc.description1026
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dc.languageen
dc.publisherIEEE Computer Society
dc.relationProceedings of the 2002 Congress on Evolutionary Computation, CEC 2002
dc.rightsfechado
dc.sourceScopus
dc.titleDecentralized Control System For Autonomous Navigation Based On An Evolved Artificial Immune Network
dc.typeActas de congresos


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