Multi-objective evolutionary algorithms (MOEAs) have shown promising performance in
solving various optimization problems, but their performance may deteriorate drastically …

The scheduling of deliveries and the routing of vehicles are of great importance for supply
chain operations, as both determine to a great extent the distribution costs, as well as …

The evolutionary algorithm (EA) is a nature-inspired population-based search method that
works on Darwinian principles of natural selection. Due to its strong search capability and …

Abstract Monte Carlo Tree Search (MCTS) is a powerful approach to designing game-
playing bots or solving sequential decision problems. The method relies on intelligent tree …

In the vehicle routing problem with simultaneous pickup and delivery (VRPSPD), goods
have to be transported from different origins to different destinations, and each customer has …

We consider the problem of designing a parcel locker network as a solution to the Logistics
Last Mile Problem: Choosing the optimal number, locations, and sizes of parcel locekers …

Bat algorithm is a population metaheuristic proposed in 2010 which is based on the
echolocation or bio-sonar characteristics of microbats. Since its first implementation, the bat …

The capacitated vehicle routing problem (CVRP) is a classical combinatorial optimization
problem, which has received much attention due to its main challenges as distribution …

Dial-a-ride problems consist of designing vehicle routes and time schedules in a system of
demand-dependent, collective people transportation. In the standard problem, operational …

In this paper, we analyze the route efficiency trade-offs that emerge from combining first-mile
pickup and last-mile delivery operations in an urban distribution system. We build on the …