Improved genetic algorithm in a static environment for the robotic path planning problem
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Author (Corporation)
Publication date
2024
Type of student thesis
Course of study
Collections
Type
04B - Conference paper
Editor (Corporation)
Supervisor
Parent work
Data Science and Applications: Proceedings of ICDSA 2023
Special issue
DOI of the original publication
Link
Related research data
Series
Lecture Notes in Networks and Systems
Series number
819
Volume
2
Issue / Number
Pages / Duration
217-230
Patent number
Publisher / Publishing institution
Springer
Place of publication / Event location
Singapore
Edition
Version
Programming language
Assignee
Practice partner / Client
Keywords
Subject (DDC)
Event
4th International Conference on Data Science and Applications (ICDSA 2023)
Exhibition start date
Exhibition end date
Conference start date
Conference end date
Date of the last check
ISBN
978-981-99-7819-9
978-981-99-7820-5
978-981-99-7820-5
ISSN
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
peer-reviewed
Open access category
Closed
License
Citation
Mankudiyil, R., Dornberger, R., & Hanne, T. (2024). Improved genetic algorithm in a static environment for the robotic path planning problem. In S. J. Nanda, R. P. Yadav, A. H. Gandomi, & M. Saraswat (Eds.), Data Science and Applications: Proceedings of ICDSA 2023 (Vol. 2, pp. 217–230). Springer. https://doi.org/10.1007/978-981-99-7820-5_18