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Optimization of Home Care Visits Schedule by Genetic Algorithm Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Path Planning Optimization Method Based on Genetic Algorithm for Mapping Toxic Environment

Authors : Luis Piardi, José Lima, Ana I. Pereira, Paulo Costa

Published in: Bioinspired Optimization Methods and Their Applications

Publisher: Springer International Publishing

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Abstract

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.

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previous chapter Ensemble of Kriging with Multiple Kernel Functions for Engineering Design Optimization
next chapter Tuning Multi-Objective Optimization Algorithms for the Integration and Testing Order Problem
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Metadata
Title
Path Planning Optimization Method Based on Genetic Algorithm for Mapping Toxic Environment
Authors
Luis Piardi
José Lima
Ana I. Pereira
Paulo Costa
Copyright Year
2018
Book
Bioinspired Optimization Methods and Their Applications

Print ISBN: 978-3-319-91640-8

Electronic ISBN: 978-3-319-91641-5

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-91641-5_19

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