モンテカルロシミュレーションによる感度解析とGAを融合した確率的ネットワークのアロー分岐確率計画手法 Branching Probabilities Planning of Stochastic Network Model Using Genetic Algorithm Supported by Sensitivity Analysis
This paper proposes a new method to plan the project durations that are modeled as stochastic network such as GERT network. Since stochastic networks have a variable time and a branching probability for each arrow, the total duration of the network is also modeled as a variable. In order to complete the project by the desired date with a certain confidence, the variable times or branching probabilities of the network should be designed appropriately. We will propose a planning method for branching probabilities to realize the desired project duration using GA and Monte Carlo simulation.
- 電気学会論文誌. C, 電子・情報・システム部門誌 = The transactions of the Institute of Electrical Engineers of Japan. C, A publication of Electronics, Information and System Society
電気学会論文誌. C, 電子・情報・システム部門誌 = The transactions of the Institute of Electrical Engineers of Japan. C, A publication of Electronics, Information and System Society 126(8), 1040-1048, 2006-08-01
The Institute of Electrical Engineers of Japan