ABSTRACT This study proposes a non-dominated sorting genetic algorithm-II-based multi-objective optimization method to solve the multi-objective mission planning problem for satellite formation flying
Written by Michael Di Matteo, University of Adelaide, Australia18 July 2016email: mdimatteo.main@gmail.com[] denotes code or data set available ENUMERATION Once the case study optimization probl
This paper compares three automated path-planning algorithms based on publicly available data. The algorithms include a Dijkstra-based algorithm (DBA) that improves on the straightforward application
In order to test the feasibility and effectiveness of the algorithm in this paper, NSGA-II-ALS was compared with several other genetic algorithms in experiments to analyze the performance of multiple
This paper compares three automated path-planning algorithms based on publicly available data. The algorithms include a Dijkstra-based algorithm (DBA) that improves on the straightforward application
