Application of an incremental evolution technique to spacecraft design optimization

Author

Fukunaga, Alex S.

Author_Institution

Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA

fYear

1997

fDate

13-16 Apr 1997

Firstpage

431

Lastpage

435

Abstract

Based on the intuition that it is often easier to learn to solve difficult problems after similar, simpler problems have been learned, incremental evolution is an extension to evolutionary algorithms in which the evaluation function against which a population is evolved is scaled over time. This paper presents an application of incremental evolution to the problem of physical design optimization of a Mars microprobe spacecraft. Experimental results that demonstrated the utility of the approach are presented, as well as some new insights into the behavior of incremental evolution which may explain its success

Keywords

CAD; Mars; aerospace computing; genetic algorithms; space vehicles; Mars microprobe spacecraft; evaluation function; evolutionary algorithms; incremental evolution technique; population; problem solving; spacecraft design optimization; Design optimization; Evolution (biology); Evolutionary computation; Genetic algorithms; Mars; Optimization methods; Psychology; Scheduling; Space exploration; Space vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation, 1997., IEEE International Conference on

Conference_Location

Indianapolis, IN

Print_ISBN

0-7803-3949-5

Type

conf

DOI

10.1109/ICEC.1997.592350

Filename

592350