ABSTRACT
Spacecraft design optimization is a domain that can benefit from the application of optimization algorithms such as genetic algorithms. However, there are a number of practical issues that make the application of these algorithms to real-world spacecraft design optimization problems difficult in practice. In this paper, we describe DEVO, an evolutionary optimization system that addresses these issues and provides a tool that can be applied to a number of real-world spacecraft design applications. We describe two current applications of DEVO: physical design of a Mars Microprobe Soil Penetrator, and system configuration optimization for a Neptune Orbiter.
