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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F21%3A39918555" target="_blank" >RIV/00216275:25530/21:39918555 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1007/978-3-030-87869-6_18" target="_blank" >http://dx.doi.org/10.1007/978-3-030-87869-6_18</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-030-87869-6_18" target="_blank" >10.1007/978-3-030-87869-6_18</a>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/EF17_049%2F0008394" target="_blank" >EF17_049/0008394: Cooperation in Applied Research between the University of Pardubice and companies, in the Field of Positioning, Detection and Simulation Technology for Transport Systems (PosiTrans)</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

16TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING MODELS IN INDUSTRIAL AND ENVIRONMENTAL APPLICATIONS (SOCO 2021)

ISBN

978-3-030-87869-6

ISSN

2194-5357

e-ISSN

2194-5365

Number of pages

11

Pages from-to

187-197

Publisher name

SPRINGER INTERNATIONAL PUBLISHING AG

Place of publication

CHAM

Event location

Bilbao

Event date

Sep 22, 2021

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000719656700018