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- W2173854420 abstract "This paper describes the use of a relatively new AI research tool, Genetic Algorithms, to address the problem of optimal budget allocation and maintenance planning over a certain period to maintain pavement network at an acceptable performance level. The system currently being developed, PAVENET, helps to determine when maintenance works should be performed for the different distresses of the various pavement segments of the network over a planning horizon of 20 years. The purpose of such a long period is to ensure that an optimum strategy for the initial years does not lead to crucial repairs being deferred and becoming unacceptably concentrated in a particular year. The economic analysis is based on cost-benefit principles and discounted cash-flow procedures are used. A genetic algorithm is adapted for use in PAVENET to overcome the combinatorial explosion of the optimisation problem. For the covering entry of this conference, see IRRD abstract number 843191." @default.
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- W2173854420 date "1992-01-01" @default.
- W2173854420 modified "2023-10-12" @default.
- W2173854420 title "HIGHWAY MAINTENANCE PLANNING AND BUDGETING AT NETWORK LEVEL USING A GENETIC ALGORITHM" @default.
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