000134022 001__ 134022
000134022 005__ 20190416220453.0
000134022 0247_ $$2doi$$a10.1109/CEC.2009.4982930
000134022 02470 $$2ISI$$a000274803100008
000134022 037__ $$aCONF
000134022 245__ $$aReverse-engineering of Artificially Evolved Controllers for Swarms of Robots
000134022 269__ $$a2009
000134022 260__ $$c2009
000134022 336__ $$aConference Papers
000134022 520__ $$aIt is generally challenging to design decentralized controllers for swarms of robots because there is often no obvious relation between the individual robot behaviors and the final behavior of the swarm. As a solution, we use artificial evolution to automatically discover neural controllers for swarming robots. Artificial evolution has the potential to find simple and efficient strategies which might otherwise have been overlooked by a human designer. However, evolved controllers are often unadapted when used in scenarios that differ even slightly from those encountered during the evolutionary process. By reverse-engineering evolved controllers we aim towards hand-designed controllers which capture the simplicity and efficiency of evolved neural controllers while being easy to optimize for a variety of scenarios.
000134022 6531_ $$aSwarming
000134022 6531_ $$aMAVs
000134022 6531_ $$aReverse-engineering
000134022 6531_ $$aArtificial Evolution
000134022 6531_ $$aNeural Networks
000134022 6531_ $$aEvolutionary Robotics
000134022 700__ $$0243221$$g147560$$aHauert, Sabine
000134022 700__ $$0240674$$g104340$$aZufferey, Jean-Christophe
000134022 700__ $$aFloreano, Dario$$g111729$$0240742
000134022 7112_ $$dMay 18-21, 2009$$cTrondheim, Norway$$aIEEE Congress on Evolutionary Computation
000134022 773__ $$tProceedings of the IEEE Congress on Evolutionary Computation$$q55-61
000134022 8564_ $$uhttps://infoscience.epfl.ch/record/134022/files/HauertCEC2009.pdf$$zn/a$$s3259828
000134022 909C0 $$xU10370$$0252161$$pLIS
000134022 909CO $$ooai:infoscience.tind.io:134022$$qGLOBAL_SET$$pconf$$pSTI
000134022 917Z8 $$x255330
000134022 937__ $$aLIS-CONF-2009-001
000134022 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000134022 980__ $$aCONF