eBook - PDF

Obstacle Avoidance In Multi-robot Systems, Experiments In Parallel Genetic Algorithms

Name: Obstacle Avoidance In Multi-robot Systems, Experiments In Parallel Genetic Algorithms
Author: Mark A C Gill, Albert Y Zomaya

Experiments in Parallel Genetic Algorithms

Mark A C Gill,

Albert Y Zomaya,

200 pages
English
PDF
Available on iOS & Android

eBook - PDF

Obstacle Avoidance In Multi-robot Systems, Experiments In Parallel Genetic Algorithms

Experiments in Parallel Genetic Algorithms

Mark A C Gill,

Albert Y Zomaya,

About this book

Obstacle Avoidance in Multi-robot Systems: Experiments in Parallel Genetic Algorithms offers a novel framework for solving the path planning problem for robot manipulators. Simple and efficient solutions are proposed for the path planning problem based on genetic algorithms. One of the attractive features of genetic algorithms is their ability to solve formidable problems in a robust and straightforward manner. Moreover, genetic algorithms are inherently parallel in nature, which makes them ideal candidates for parallel computing implementations.By combining the robustness of genetic algorithms with the power of parallel computers, this book provides an effective and practical approach to solving path planning problems. The book gives details of implementations that allow a better understanding of the complexities involved in the development of parallel path planning algorithms. The material presented is interdisciplinary in nature — it combines topics from robotics, genetic algorithms, and parallel processing. The book can be used by practitioners and researchers in computer science and engineering.

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Yes, you can access Obstacle Avoidance In Multi-robot Systems, Experiments In Parallel Genetic Algorithms by Mark A C Gill, Albert Y Zomaya in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Science General. We have over one million books available in our catalogue for you to explore.