Guidance of Unmanned Surface Vehicle Fleet Using Genetic Algorithm-Based Approach

Dvořák, Miroslav; Doležel, Petr; Štursa, Dominik; Chouai, Mohamed

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Guidance of Unmanned Surface Vehicle Fleet Using Genetic Algorithm-Based Approach

Dvořák, Miroslav; Doležel, Petr; Štursa, Dominik; Chouai, Mohamed

10.1007/978-3-030-87869-6_18

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URI: https://hdl.handle.net/10195/79116

Datum publikování: 2021

Document type: ConferenceObject

ISSN: 2194-5357

xmlui.ArtifactBrowser.SimpleSearch.filter.source: 16TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING MODELS IN INDUSTRIAL AND ENVIRONMENTAL APPLICATIONS (SOCO 2021)

Publisher version: http://2021.sococonference.eu/

xmlui.ArtifactBrowser.SimpleSearch.filter.event 16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO) (22.09.2021 - 24.09.2021, Bilbao)

Abstract:

In this contribution, we provide an approach to guidance of a fleet of unmanned surface vehicles. While the vehicles are themselves completely autonomous in their operational locomotion and obstacle avoidance, the task assignment for each vehicle is provided by a global planning process, based on the genetic algorithm. Various possibilities to the genetic algorithm are proposed and tested using a fleet of six vehicles dealing with a complex task.

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