The use of micro-genetic algorithms to determine near-optimal low-thrust trajectories is studied. Micro-genetic algorithms are inefficient at achieving near optimal solutions when boundary conditions were treated as equality constraints. However, when boundary conditions are cast as inequality constraints, micro-genetic algorithms showed faster convergence than simple genetic algorithms to near-optimal region.
ASJC Scopus subject areas
- Control and Systems Engineering
- Aerospace Engineering
- Space and Planetary Science
- Electrical and Electronic Engineering
- Applied Mathematics