Powered by OpenAIRE graph
Found an issue? Give us feedback
 View all 4 versions
Claim

Hyper-heuristic Learning for Swarm Robots

descriptionPublicationkeyboard_double_arrow_right Thesis , Doctoral thesis 01 Jan 2020Publisher:Monash University
Authors: Shuang Yu;

doi: 10.26180/12490211.v1 , 10.26180/5ee8e1aa39299 , 10.26180/12490211

Hyper-heuristic Learning for Swarm Robots

Abstract

This thesis develops a framework for automatic construction of complex swarm robot behaviours. It demonstrates the benefit of machine learning in assisting swarm robots in unknown and dynamic environments.

Keywords

FOS: Psychology, FOS: Computer and information sciences, 80101 Adaptive Agents and Intelligent Robotics, Intelligent robotics, 170203 Knowledge Representation and Machine Learning, Knowledge representation and reasoning

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!
uploadUpload now