Hazard Exposure Reduction Using Genetic Fuzzy Path Planning
Cody Lafountain, Phillip Italiano, Kelly De Oliveira Cohen · 50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition · 2012
This paper discusses the possibility of using fuzzy logic to nd the optimal path through a map containing non-crisp hazards. The paper will discuss several topics, including fuzzy logic, genetic algorithms, and how they can be used e ectively in selecting a path when minimum total exposure is desired. The strengths and limitations of the methods will be covered, as well as a selection or results comparing this type of path planning to more traditional crisp-obstacle solvers. The authors will show that fuzzy logic can be used very e ectively to minimize hazard exposure over a wide variety of terrain types.