Life Cycle Management -- Distributed Web-based Software Development with Evolutionary Programming and Stochastic Optimization

Author

Sakowicz, Bartosz ; Anders, George

Author_Institution

Dept. of Microelectron. & Comput. Sci., Tech. Univ. of Lodz

fYear

2006

fDate

11-15 June 2006

Firstpage

1

Lastpage

8

Abstract

This article is an extension of the work presented earlier, which compared and analyzed the economics of alternative maintenance plans. The previous approach has been improved by an application of a genetic algorithm. The system is introduced as a distributed web-based software application. The methodology based on combining evolutionary programming with Monte Carlo simulations is described and illustrated by a numerical example involving analysis of the optimal timing of new investments for refurbishment of a large steam generating unit

Keywords

Internet; Monte Carlo methods; boilers; distributed programming; genetic algorithms; power engineering computing; power generation economics; power generation planning; power system management; software maintenance; stochastic programming; Monte Carlo simulations; evolutionary programming; genetic algorithm; life cycle management; software development; steam generating unit; stochastic optimization; Application software; Costs; Genetic algorithms; Genetic programming; Investments; Optimization methods; Power system economics; Software development management; Stochastic processes; Timing; evolutionary algorithms; genetic algorithms; life cycle management; stochastic optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Probabilistic Methods Applied to Power Systems, 2006. PMAPS 2006. International Conference on

Conference_Location

Stockholm

Print_ISBN

978-91-7178-585-5

Type

conf

DOI

10.1109/PMAPS.2006.360250

Filename

4202262