Amanote Research

Amanote Research

  • Register
  • Sign In

Correction: Advantages of Task-Specific Multi-Objective Optimisation in Evolutionary Robotics

PLoS ONE- United States

doi 10.1371/journal.pone.0140056

Full Text

Abstract

Available in

Categories

Multidisciplinary

Date

October 2, 2015

Authors

Vito TrianniManuel López-Ibáñez

Publisher

Public Library of Science (PLoS)


Related search

A Hybrid Multi-Objective Extremal Optimisation Approach for Multi-Objective Combinatorial Optimisation Problems

2010English

Multi-Task Active-Vision in Robotics

2010English

Multi-Objective Evolutionary Algorithms

2013English

Evolutionary Multi-Level Robust Solution Search for Noisy Multi-Objective Optimisation Problems With Different Noise Levels

International Journal of Automation and Logistics
2016English

Automated Solution Selection in Multi-Objective Optimisation

2008English

Multi-Objective Optimisation of Aircraft Departure Trajectories

Aerospace Science and Technology
Aerospace Engineering
2018English

Combining Conflicting Environmental and Task Requirements in Evolutionary Robotics

2015English

Evolutionary Multi-Objective Optimization in Finance

2007English

Evolutionary Multi-Objective Robust Optimization

2008English

Amanote Research

Note-taking for researchers

Follow Amanote


© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy