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In this article, we proposed a heuristic method for the consumable resource allocation problem (or time cost trade off problem) in multi-class dynamic PERT networks.
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Other political entities seem willing to avoid the whole "trade-off" problem by misrepresenting themselves.
The applied MOGA proves to be suitable for the stochastic trade-off problem.
In this paper, a stochastic time-dependent time cost trade-off problem is introduced.
However, the research on the time-cost trade-off problem seldom concerns stochastic environments.
However, the decision of k value is a trade-off problem.
However we also see trade-off problem about energy efficiency and rough terrain adaptability.
There are at least three possible responses to the varying answers to the trade-off problem provided by different criteria.
The similar secrecy rate and power transfer trade-off problem between the IR and ERs was investigated in [3].
Wuliang and Chengen (2009) used genetic algorithm to solve a multi-mode resource-constrained discrete time/cost trade-off problem.
We develop a multi-objective model for the time-cost trade-off problem in PERT networks with generalized Erlang distributions of activity durations, using a genetic algorithm.
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