Multiobjective Pavement-Preservation Decision Making with Simulated Constraint Boundary Programming

Abstract

An optimization model is designed to guide pavement agencies to make decisions under multicriteria decision circumstances. In this paper, a multiobjective optimization model is illustrated to enable pavement-management agencies to make network-level pavement-preservation decisions based on conflicting objectives, namely, minimizing costs and maximizing pavement smoothness. The optimization model is based on the Pareto optimal concept to simultaneously solve all types of concerns or constraints to obtain the optimum targets, in order to minimize costs and maximize benefits. The simulated constraint boundary method is suggested to find Pareto optimal solutions compared with the genetic algorithm method and a normalized technique for order preference by similarity to ideal solutions was illustrated to assist postoptimization decision making.