Optimizing complex systems

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

Modeling and solving complex engineering problems requires new algorithmic tools. A promising new tool for numerical optimization is the genetic algorithm. This paper presents two interesting applications using the genetic algorithm. The first optimizes a function that has a subjective output: Music. The second uses continuous parameters rather than the traditional binary parameters to find solutions to a nonlinear partial differential equation. A brief introduction to the continuous parameter genetic algorithm is given.

Original languageEnglish
Title of host publication1998 IEEE Aerospace Conference, AERO 1998 - Proceedings
PublisherIEEE Computer Society
Pages241-247
Number of pages7
ISBN (Print)0780343115
DOIs
StatePublished - 1998
Event1998 IEEE Aerospace Conference, AERO 1998 - Snowmass, United States
Duration: Mar 28 1998Mar 28 1998

Publication series

NameIEEE Aerospace Conference Proceedings
Volume4
ISSN (Print)1095-323X

Conference

Conference1998 IEEE Aerospace Conference, AERO 1998
Country/TerritoryUnited States
CitySnowmass
Period03/28/9803/28/98

Fingerprint

Dive into the research topics of 'Optimizing complex systems'. Together they form a unique fingerprint.

Cite this