27 October 1988 Mobile Transporter Path Planning Using A Genetic Algorithm Approach
Author Affiliations +
Proceedings Volume 1006, Space Station Automation IV; (1988) https://doi.org/10.1117/12.949076
Event: 1988 Cambridge Symposium on Advances in Intelligent Robotics Systems, 1988, Boston, MA, United States
The use of an optimization technique known as a genetic algorithm for solving the mobile transporter path planning problem is investigated. The mobile transporter is a traveling robotic vehicle proposed for the space station which must be able to reach any point of the structure autonomously. Specific elements of the genetic algorithm are explored in both a theoretical and experimental sense. Recent developments in genetic algorithm theory are shown to be particularly effective in a path planning problem domain, though problem areas can be cited which require more research. However, trajectory planning problems are common in space systems and the genetic algorithm provides an attractive alternative to the classical techniques used to solve these problems.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Paul Baffes and Lui Wang "Mobile Transporter Path Planning Using A Genetic Algorithm Approach", Proc. SPIE 1006, Space Station Automation IV, (27 October 1988); doi: 10.1117/12.949076; https://doi.org/10.1117/12.949076


Revisiting evolutionary programming
Proceedings of SPIE (March 24 1998)
Genetic design and optimization of military antennas
Proceedings of SPIE (May 21 2006)
Global convergence of genetic algorithms
Proceedings of SPIE (December 15 1992)
Step towards optimal topology of communication networks
Proceedings of SPIE (July 31 1991)
Genetic algorithm for disassembly process planning
Proceedings of SPIE (February 10 2002)
Genetic algorithms applied to optics and engineering
Proceedings of SPIE (February 09 2006)

Back to Top