CORRECTION
Correction: Advantages of Task-Specific Multi-Objective Optimisation in Evolutionary Robotics Vito Trianni, Manuel López-Ibáñez
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 Information S1 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. (PDF)
Reference 1.
Trianni V, López-Ibáñez M (2015) Advantages of Task-Specific Multi-Objective Optimisation in Evolutionary Robotics. PLoS ONE 10(8): e0136406. doi:10.1371/journal.pone.0136406 PMID: 26295151
OPEN ACCESS Citation: Trianni V, López-Ibáñez M (2015) Correction: Advantages of Task-Specific MultiObjective Optimisation in Evolutionary Robotics. PLoS ONE 10(10): e0140056. doi:10.1371/journal. pone.0140056 Published: October 2, 2015 Copyright: © 2015 Trianni, López-Ibáñez. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PLOS ONE | DOI:10.1371/journal.pone.0140056 October 2, 2015
1/1
Correction: Advantages of Task-Specific Multi-Objective Optimisation in Evolutionary Robotics Vito Trianni, Manuel López-Ibáñez
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 Information S1 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. (PDF)
Reference 1.
Trianni V, López-Ibáñez M (2015) Advantages of Task-Specific Multi-Objective Optimisation in Evolutionary Robotics. PLoS ONE 10(8): e0136406. doi:10.1371/journal.pone.0136406 PMID: 26295151
OPEN ACCESS Citation: Trianni V, López-Ibáñez M (2015) Correction: Advantages of Task-Specific MultiObjective Optimisation in Evolutionary Robotics. PLoS ONE 10(10): e0140056. doi:10.1371/journal. pone.0140056 Published: October 2, 2015 Copyright: © 2015 Trianni, López-Ibáñez. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PLOS ONE | DOI:10.1371/journal.pone.0140056 October 2, 2015
1/1
