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in creator/contributor: "Hage, M"

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Evolutionary development of path planning algorithms

This paper describes the use of evolutionary software techniques for developing both genetic algorithms and genetic programs. Genetic algorithms are evolved to solve a specific problem within a fixed and known environment. While genetic algorithms can evolve to become very optimized for their task, they often are very specialized and perform poorly if the environment changes. Genetic programs are evolved through simultaneous training in a variety of environments to develop a more general contro… more

Date: September 1, 1998

Creator: Hage, M

Item Type: Article

Partner: UNT Libraries Government Documents Department

open access

Evolutionary software for autonomous path planning

This research project demonstrated the effectiveness of using evolutionary software techniques in the development of path-planning algorithms and control programs for mobile vehicles in radioactive environments. The goal was to take maximum advantage of the programmer's intelligence by tasking the programmer with encoding the measures of success for a path-planning algorithm, rather than developing the path-planning algorithms themselves. Evolutionary software development techniques could then … more

Date: February 10, 1999

Creator: Couture, S. & Hage, M.