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Genetic algorithms applied to the scheduling of the hubble space telescope
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Sponsler, Jeffrey L. |
| Copyright Year | 1989 |
| Description | A prototype system employing a genetic algorithm (GA) has been developed to support the scheduling of the Hubble Space Telescope. A non-standard knowledge structure is used and appropriate genetic operators have been created. Several different crossover styles (random point selection, evolving points, and smart point selection) are tested and the best GA is compared with a neural network (NN) based optimizer. The smart crossover operator produces the best results and the GA system is able to evolve complete schedules using it. The GA is not as time-efficient as the NN system and the NN solutions tend to be better. |
| File Size | 619012 |
| Page Count | 12 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19890017236 |
| Archival Resource Key | ark:/13960/t2m66dj2c |
| Language | English |
| Publisher Date | 1989-04-01 |
| Access Restriction | Open |
| Subject Keyword | Computer Programming And Software Algorithms Knowledge Bases Artificial Intelligence Neural Nets Heuristic Methods Prototypes Knowledge Representation Hubble Space Telescope Scheduling Expert Systems Optimization Genetic Algorithms Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |
