Open AccessA Parallel Processing and Diversified-Hidden-Gene-based Genetic Algorithm Framework for Fuel-Optimal Trajectory Design for Interplanetary Spacecraft Missions
Author(s) -
Dhathri H. Somavarapu
Publication year - 2017
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.31979/etd.a67b-xy8b
Subject(s) - computer science , spacecraft , genetic algorithm , nasa deep space network , interplanetary spaceflight , set (abstract data type) , message passing interface , trajectory , interface (matter) , aerospace engineering , algorithm , parallel computing , physics , engineering , bubble , quantum mechanics , astronomy , machine learning , maximum bubble pressure method , magnetic field , solar wind , message passing , programming language
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