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• W2003752473 abstract "This paper describes the development of a computer model (known as PAVENET-R) based on genetic algorithms, an optimization tool capable of overcoming combinatorial explosion, to solve the pavement maintenance-rehabilitation trade-off problem at the network level. The formulation of the PAVENET-R model is described in detail. An integer coding scheme is selected for parameter representation in the model. Two genetic-algorithm operators, namely the crossover operator and the mutation operator, are used. A “change table” encodes constraints to the genetic-algorithm operations to ensure that only valid offspring are generated from a parent pool. Four numerical examples of road networks of 30 pavement segments, each with different relative costs of rehabilitation and maintenance activities, are analyzed to demonstrate the trade-off relationship between pavement rehabilitation and maintenance activities. The detailed maintenance and rehabilitation schedules of the solutions, and the convergence characteristics of each solution are presented." @default.
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• W2003752473 date "1996-05-01" @default.
• W2003752473 modified "2023-10-12" @default.
• W2003752473 title "Genetic-Algorithm Programming of Road Maintenance and Rehabilitation" @default.
• W2003752473 cites W1979134284 @default.
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• W2003752473 doi "https://doi.org/10.1061/(asce)0733-947x(1996)122:3(246)" @default.
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