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 [in Japanese] Branching Probabilities Planning of Stochastic Network Model Using Genetic Algorithm Supported by Sensitivity Analysis [in Japanese]
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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.
- IEEJ Transactions on Electronics, Information and Systems
IEEJ Transactions on Electronics, Information and Systems 126(8), 1040-1048, 2006-08-01
The Institute of Electrical Engineers of Japan