No abstract

A computational tool for the synthesis and optimization of submarine pipeline routes has been developed as a result of previous research work. Such tool must rely on the accurate representation of the constraints associated to the design practice; the treatment of these constraints had been performed by a standard static penalty technique. This work describes the implementation of an adaptive penalty method (APM), associated to the artificial immune systems meta-heuristic implemented on the route optimization tool. The performance of the APM is assessed with the results of a case study, indicating that this penalty-based approach is very efficient when compared to a static penalty technique for the treatment of constraints.