Vehicle routing is a well-known optimization research topic with significant practical
importance. Among different approaches to solving vehicle routing, heuristics can produce a …

The green vehicle routing problem (GVRP) has been a prominent topic in the literature on
logistics and transportation, leading to extensive research and previous review studies …

Multiobjective evolutionary algorithms (MOEAs) are major methods for solving multiobjective
optimization problems (MOPs). Many MOEAs have been proposed in the past decades, of …

Evolutionary algorithms (EA), a class of stochastic search methods based on the principles
of natural evolution, have received widespread acclaim for their exceptional performance in …

Combinatorial optimization, such as vehicle routing and traveling salesman problems for
graphs, is NP-hard and has been studied for decades. Many methods have been proposed …

Confronted with complex industrial environments, dynamic disruptions like new job arrival
and machine breakdown bring significant challenges to the robustness and stability of the …

In recent years, integrated production and distribution scheduling (IPDS) has received
growing attention from academia and industry. With increasingly global economic activities …

Logistics enterprises are moving towards high efficiency and green. As an emerging
technology, unmanned aerial vehicle (UAV, also known as drone) is very useful to cope with …

This paper provides a systematic overview of machine learning methods applied to solve NP-
hard Vehicle Routing Problems (VRPs). Recently, there has been great interest from both …

The vehicle routing problem (VRP), an NP-hard problem of considerable complexity,
pertains to the determination of optimal sequences of customer visits in an effort to minimize …