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Record 11 of 4188
Real Time Optima Tracking Using Harvesting Models of the Genetic Algorithm
Author and Affiliation:
Baskaran, Subbiah(Raytheon Co., Huntsville, AL United States)
Noever, D.(NASA Marshall Space Flight Center, Huntsville, AL United States)
Abstract: Tracking optima in real time propulsion control, particularly for non-stationary optimization problems is a challenging task. Several approaches have been put forward for such a study including the numerical method called the genetic algorithm. In brief, this approach is built upon Darwinian-style competition between numerical alternatives displayed in the form of binary strings, or by analogy to 'pseudogenes'. Breeding of improved solution is an often cited parallel to natural selection in.evolutionary or soft computing. In this report we present our results of applying a novel model of a genetic algorithm for tracking optima in propulsion engineering and in real time control. We specialize the algorithm to mission profiling and planning optimizations, both to select reduced propulsion needs through trajectory planning and to explore time or fuel conservation strategies.
Publication Date: Jan 01, 1999
Document ID:
19990067274
(Acquired Sep 17, 1999)
Subject Category: SPACECRAFT PROPULSION AND POWER
Document Type: Reprint
Meeting Information: Advanced Space Propulsion; 5 Apr. 1999; Huntsville, AL; United States
Financial Sponsor: NASA Marshall Space Flight Center; Huntsville, AL United States
Organization Source: NASA Marshall Space Flight Center; Huntsville, AL United States
Description: 1p; In English
Distribution Limits: Unclassified; Publicly available; Unlimited
Rights: Copyright
NASA Terms: REAL TIME OPERATION; TRAJECTORY PLANNING; PROPULSION; DYNAMIC CONTROL; GENETIC ALGORITHMS; NUMERICAL ANALYSIS; ALTERNATIVES; BREEDING (REPRODUCTION); COMPETITION; OPTIMIZATION; STRINGS
Availability Source: Other Sources
Availability Notes: Abstract Only;
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