Sep 9, 2016 · In this paper, we study the use of CCEAs to evolve control for a heterogeneous multirobot system where the robots have disparate morphologies and capabilities.
We first show that CCEAs can evolve successful controllers for physically heterogeneous teams, but find that differences in the complexity of the skills the ...
In this paper, we study the use of CCEAs to evolve control for a heterogeneous multirobot system where the robots have disparate morphologies and capabilities.
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Challenges in cooperative coevolution of physically heterogeneous robot teams ; Journal: Natural Computing, 2016, № 1, p. 29-46 ; Publisher: Springer Science and ...
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One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function ...
Challenges in cooperative coevolution of physically heterogeneous robot teams. Heterogeneous multirobot systems have shown significant potential in many ...
Mariano, and A. L. Christensen (2016), "Challenges in Cooperative Coevolution of Physically Heterogeneous Robot Teams", Natural Computing, in press. F ...
Challenges in cooperative coevolution of physically heterogeneous robot teams. Article 09 September 2016. STRATA: unified framework for task assignments in ...
Morphologically heterogeneous multirobot teams have shown significant potential in many applications. While co- operative coevolutionary algorithms can be ...
Challenges in cooperative coevolution of physically heterogeneous robot teams. J Gomes, P Mariano, AL Christensen. Natural Computing 18 (1), 29-46, 2019. 11 ...