Problem solving with genetic algorithms and SplicerGenetic algorithms are highly parallel, adaptive search procedures (i.e., problem-solving methods) loosely based on the processes of population genetics and Darwinian survival of the fittest. Genetic algorithms have proven useful in domains where other optimization techniques perform poorly. The main purpose of the paper is to discuss a NASA-sponsored software development project to develop a general-purpose tool for using genetic algorithms. The tool, called Splicer, can be used to solve a wide variety of optimization problems and is currently available from NASA and COSMIC. This discussion is preceded by an introduction to basic genetic algorithm concepts and a discussion of genetic algorithm applications.
Document ID
19920034965
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Bayer, Steven E. (Mitre Corp. Houston, TX, United States)
Wang, Lui (NASA Johnson Space Center Houston, TX, United States)