Optimising Robot Swarm Formations by Using Surrogate Models and Simulations
Optimising a swarm of many robots can be computationally demanding, especially when accurate simulations are required to evaluate the proposed robot configurations. Consequentially, the size of the instances and swarms must be limited, reducing the number of problems that can be addressed. In this a...
Main Authors: | Daniel H. Stolfi, Grégoire Danoy |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-05-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/13/10/5989 |
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