Title
Particle swarm optimization algorithms for autonomous robots with deterministic leaders using space filling movements
Abstract
In this work the swarm behavior principles of Craig W. Reynolds are combined with deterministic traits. This is done by using leaders with motions based on space filling curves like Peano and Hilbert. Our goal is to evaluate how the swarm of agents works with this approach, supposing the entire swarm will better explore the entire space. Therefore, we examine different combinations of Peano and Hilbert with the already known swarm algorithms and test them in a practical challenge for the harvesting of manganese nodules on the sea ground with the use of autonomous agents. We run experiments with various settings, then evaluate and describe the results. In the last section some further development ideas and thoughts for the expansion of this study are considered.
Year
DOI
Venue
2020
10.1007/s12530-018-9245-9
Evolving Systems
Keywords
DocType
Volume
Autonomous agents,Space filling curves,Particle swarm optimization,Deterministic leaders,Application
Journal
11
Issue
ISSN
Citations 
3
1868-6486
0
PageRank 
References 
Authors
0.34
2
6
Name
Order
Citations
PageRank
Doina Logofatu11716.74
Gil Sobol200.34
Christina Andersson300.34
Daniel Stamate46636.68
Kristiyan Balabanov500.34
Tymoteusz Cejrowski600.34