Pathfinding in the paparazzi problem comparing different distance measures
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Author (Corporation)
Publication date
2022
Typ of student thesis
Course of study
Collections
Type
04B - Conference paper
Editor (Corporation)
Supervisor
Parent work
Proceedings of International Joint Conference on Advances in Computational Intelligence. IJCACI 2021
Special issue
DOI of the original publication
Link
Series
Algorithms for Intelligent Systems
Series number
Volume
Issue / Number
Pages / Duration
81–95
Patent number
Publisher / Publishing institution
Spinger
Place of publication / Event location
Singapore
Edition
Version
Programming language
Assignee
Practice partner / Client
Abstract
Keywords
Subject (DDC)
330 - Wirtschaft
Event
5th International Joint Conference on Advances in Computational Intelligence IJCACI 2021
Exhibition start date
Exhibition end date
Conference start date
23.10.2021
Conference end date
24.10.2021
Date of the last check
ISBN
978-981-19-0331-1
978-981-19-0332-8
978-981-19-0332-8
ISSN
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
Peer review of the complete publication
Open access category
Closed
License
Citation
SCHÄR, Kevin, Philippe SCHWANK, Rolf DORNBERGER und Thomas HANNE, 2022. Pathfinding in the paparazzi problem comparing different distance measures. In: Mohammad Shorif UDDIN, Prashant Kumar JAMWAL und Jagdish Chand BANSAL (Hrsg.), Proceedings of International Joint Conference on Advances in Computational Intelligence. IJCACI 2021. Singapore: Spinger. 2022. S. 81–95. Algorithms for Intelligent Systems. ISBN 978-981-19-0331-1. Verfügbar unter: https://irf.fhnw.ch/handle/11654/48201