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- W2038591566 abstract "Oil exploitation and transportation are very important activities for the development of industrial society. However, these activities are generating risks that are translated into accidental or chronic contaminations that directly affect the ecosystem. It is important that oil companies carry out correct maintenance of their oil fields. For example, the scheduling of visits to oil wells is a critical problem that has to be addressed in this scenario. To do that, an efficient tool called PAE was formerly proposed that is based on an evolutionary algorithm which obtains better schedules than those obtained by experts. In this article, an extension of PAE is presented to solve a constrained version of the maintenance problem. This new version of PAE is studied under the application of a set of constraint-handling techniques based on penalty functions and repair algorithms. The results and comparisons demonstrated that PAE, using a repair algorithm, required less computational effort (evaluations) with the same quality of solutions for the set of instances used. Details of implementation, results and benefits are presented." @default.
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- W2038591566 date "2013-08-01" @default.
- W2038591566 modified "2023-09-23" @default.
- W2038591566 title "Handling constraints with an evolutionary tool for scheduling oil wells maintenance visits" @default.
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- W2038591566 doi "https://doi.org/10.1080/0305215x.2012.713354" @default.
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