Optimization of logistics systems using metaheuristic-based hybridization techniques

Abstract

In the postwar years, the development of operational research provided companies with tools to deal with their logistical problems in a quantitative way. For a long time, these problems were split into unrelated subproblems, each subproblem often being tackled separately. This is mainly due to the fact that the subproblems considered, such as the localization problem, planning problem, scheduling problem, and transportation problem, are generally NP-hard problems and their computational complexity remains a significant issue for many researchers. Nevertheless, in an increasingly competitive industrial environment, companies continue to have a strong demand for decision aid tools to provide a global view of their organization.