Title :
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
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;
Conference_Titel :
Probabilistic Methods Applied to Power Systems, 2006. PMAPS 2006. International Conference on
Conference_Location :
Stockholm
Print_ISBN :
978-91-7178-585-5
DOI :
10.1109/PMAPS.2006.360250
