This paper surveys the research on the metaheuristics for the Vehicle Routing Problem with
Time Windows (VRPTW). The VRPTW can be described as the problem of designing least …

This paper is a survey of the literature on applications of evolutionary algorithms for vehicle
routing problems. It reports on genetic algorithms, evolution strategies, and particle swarm …

Multiobjective Evolutionary Algorithms and Applications provides comprehensive treatment
on the design of multiobjective evolutionary algorithms and their applications in domains …

Vehicle routing problem with time windows (VRPTW) involves the routing of a set of vehicles
with limited capacity from a central depot to a set of geographically dispersed customers with …

The vehicle routing problem with time windows is a complex combinatorial problem with
many real-world applications in transportation and distribution logistics. Its main objective is …

We present a new and effective metaheuristic algorithm, active guided evolution strategies,
for the vehicle routing problem with time windows. The algorithm combines the strengths of …

Multi-objective evolutionary algorithm based on decomposition (MOEA/D) provides an
excellent algorithmic framework for solving multi-objective optimization problems. It …

The Vehicle Routing Problem with Time Windows (VRPTW) has drawn considerable
attention in the last decades. The objective of VRPTW is to find the optimal set of routes for a …

This paper surveys the research on evolutionary algorithms for the Vehicle Routing Problem
with Time Windows (VRPTW). The VRPTW can be described as the problem of designing …

This paper presents a new multi-objective discreet learnable evolution model (MODLEM) to
address the vehicle routing problem with time windows (VRPTW). Learnable evolution …