Path planning optimization method based on genetic algorithm for mapping toxic environment

• Type: Article in International Conference Proceedings Book
• Date: 2018

Authors

Piardi, L (Author) Other; Lima, J (Author) Other; Pereira, AI (Author) Other; Paulo Gomes da Costa (Author) FEUP

Conference proceedings International

Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Pages: 223-233

8th International Conference on Bioinspired Optimization Methods and Their Applications, BIOMA 2018

16 May 2018 through 18 May 2018

Indexing

Scopus - 2 Citations

Other information

Authenticus ID: P-00R-K7G

DOI: 10.1007/978-3-319-91641-5_19

Abstract (EN): The ionizing radiation is used in the nuclear medicine field during the execution of diagnosis exams. The administration of nuclear radio pharmaceutical components to the patient contaminates the environment. The main contribution of this work is to propose a path planning method for scanning the nuclear contaminated environment with a mobile robot optimizing the traveled distance. The Genetic Algorithm methodology is proposed and compared with other approaches and the final solution is validated in simulated and real environment in order to achieve a closer approximation to reality. © 2018, Springer International Publishing AG, part of Springer Nature.

Language: English

Type (Professor's evaluation): Scientific