Journals Proceedings

Abstract

A large number of publications have dealt with the computational efficiency of a novel evolutionary algorithm referred to as the differential evolution (DE) algorithm. The DE algorithm is able to optimally adjust the parameters in a dynamic and complex system such as a pavement management system. This study, which is based on real data, identifies maximization of pavement serviceability as the objective to efficiently optimize maintenance and rehabilitation (M&R) activities using the DE algorithm. It is clear that the DE algorithm is capable of searching based on the objective function under specified constraints for solving the optimization problem regarding pavement M&R activities.