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> Correction: Advantages of Task-Specific Multi-Objective Optimisation in Evolutionary Robotics Vito Trianni, Manuel López-Ibáñez x Published: October 2, 2015 https:-doi.org-10.1371-journal.pone.0140056 Article Metrics Comments Related Content Reader Comments 0 Media Coverage Reset zoom 1 { %> All Figures Next Previous show more show less Show in Context

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TIFF PNG PPT The following information is missing from the Funding section: Manuel López-Ibáñez acknowledges support from the Belgian F.R.S.-FNRS, of which he is a postdoctoral researcher.S1 Text has been corrected for improved readability. Please view the correct S1 Text below.Supporting InformationS1 Text. Experimental methods.

The document describes in detail the experimental procedures for comparing MOO and SOO approaches. Additionally, the experimental setup is fully described with details about the robots, the simulation framework and the evolutionary experiments.https:-doi.org-10.1371-journal.pone.0140056.s001PDFReference1. Trianni V, López-Ibáñez M 2015 Advantages of Task-Specific Multi-Objective Optimisation in Evolutionary Robotics. PLoS ONE 108: e0136406. pmid:26295151 View Article PubMed-NCBI Google Scholar



Autor: Vito Trianni, Manuel López-Ibáñez

Fuente: http://plos.srce.hr/



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