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- W2362364697 abstract "This paper considers how to increase the capacities of the elements in a set E efficiently so that probability of the total cost for the increment of capacity can be under an upper limit to maximum extent, while the final expansion capacity of a given family F of subsets of E has a given limit bound.The paper supposes the cost is a stochastic variable with some distribution.Network bottleneck capacity expansion problem with stochastic cost is originally formulated as dependent-chance programming model according to some criteria.For solving the stochastic model efficiently,network bottleneck capacity algorithm,stochastic simulation and genetic algorithm are integrated to produce a hybrid intelligent algorithm.Finally a numerical example is presented." @default.
- W2362364697 created "2016-06-24" @default.
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- W2362364697 date "2004-01-01" @default.
- W2362364697 modified "2023-09-25" @default.
- W2362364697 title "Dependent-Chance Programming Model for Stochastic Network Bottleneck Capacity Expansion" @default.
- W2362364697 hasPublicationYear "2004" @default.
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