Application of genetic algorithms to airbase logistics planning

Author

Schneider, N.L. ; Narayanan, S. ; Patel, Chetan

Author_Institution

Raytheon, NJ, USA

fYear

1999

fDate

1999

Firstpage

122

Lastpage

127

Abstract

There is a need for a modeling approach that integrates simulation with human interaction and optimization to exploit the analyst´s ability in addressing difficult to quantify issues while utilizing computer models and algorithms to perform complex computations in systems analysis. In this paper, we present an approach that integrates human interaction with simulations and genetic algorithms for the repair-time analysis problem in airbase logistics. We present the integrated approach along with the computer system implementation, and evaluation in the context of a realistic repair time analysis problem

Keywords

aerospace computing; digital simulation; genetic algorithms; logistics data processing; maintenance engineering; planning; air base logistics planning; computer algorithms; computer models; genetic algorithms; human interaction; modeling; optimization; repair time analysis problem; simulation; systems analysis; Aerospace electronics; Aircraft propulsion; Algorithm design and analysis; Analytical models; Computational modeling; Computer simulation; Genetic algorithms; Humans; Logistics; Performance analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Soft Computing Methods in Industrial Applications, 1999. SMCia/99. Proceedings of the 1999 IEEE Midnight-Sun Workshop on

Conference_Location

Kuusamo

Print_ISBN

0-7803-5280-7

Type

conf

DOI

10.1109/SMCIA.1999.782720

Filename

782720