NASA NTRS · 20210001802
Evolutionary computing for spacecraft power subsystem design search and optimization
Abstract
Multi-objective optimization involves finding one or more optimal solutions when there is more than one conflicting objective. This means that a solution that is better in one objective compromises or trades-off, other objectives. Trade Studies are conducted by flight projects to create mission concepts with different trade-off solutions for mass, cost, performance and risk.
Keep this discovery
Explore connections, maps & timelines
Hua, Hook, Hanks, David, Klimick, Gerhard, Kordon, Mark. 2004-03-10. Evolutionary computing for spacecraft power subsystem design search and optimization. https://ntrs.nasa.gov/citations/20210001802
Cite the original work for its findings. Save a collection to share your selection of sources.