Evolutionary multiobjective optimization algorithms with path relinking for Bi-Orienteering problem

In this paper, we present two hybridization schemes of interactive Evolutionary Multi-objective Optimization Algorithms with Path Relinking technique. By applying these hybrid approaches to the Bi-Orienteering Problem, we show the performance advantage over other existing standard approaches such as NSGA-II. The experimental evaluations show that the proposed approaches can converge to the preferred solution faster, and improve upon recently proposed existing methods in terms of the requirement of user feedback.