Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/26781

TitleSensitivity analysis of a crawl gait multi-objective optimization system
Author(s)Oliveira, Miguel
Silva, Pedro
Santos, Cristina
Costa, L.
KeywordsEvolutionary robotics
Multi-objective optimization
Genetic
Genetic algorithms
Issue date6-Jul-2013
PublisherIEEE
Abstract(s)This paper describes the analysis of a crawl gait multi-objective optimization system that combines bio-inspired Central Patterns Generators (CPGs) and a multi-objective evolutionary algorithm. In order to optimize the crawl gait, a multiobjective problem, an optimization system based on NSGAII allows to find a set of non-dominated solutions that correspond to different motor solutions The experimental results highlight the effectiveness of this multi-objective approach.
TypeConference paper
URIhttp://hdl.handle.net/1822/26781
ISBN9781450319645
DOI10.1145/2464576.2464592
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings

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