Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Juni 1998
Genre:	EDV / Informatik
	Artificial Intelligence / Artificial Intelligence (AI) / COMPUTERS / Artificial Intelligence / General / COMPUTERS / Parallel Processing / Parallel processing / Path Planning, Robotics, Obstacle Avoidance, Multi-Robots, Parallel Algorithms, Genetic Algorithms / Robotics / TECHNOLOGY & ENGINEERING / Robotics
ISBN:	9789810234232
EAN-Code:	9789810234232
Verlag:	World Scientific Publishing
Einband:	Gebunden
Sprache:	English
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.