Urban areas worldwide face a significant environmental challenge which is increasing
municipal solid waste rate. Addressing its negative consequences necessitates …

Swarm intelligence (SI) is the collective behavior of decentralized, self-organized natural or
artificial systems. Monarch butterfly optimization (MBO) algorithm is a class of swarm …

Recently, a taxonomic review of the Vehicle Routing Problem (VRP) literature published
between 2009 and June 2015 stated that most of the surveyed articles use metaheuristics …

Swarm intelligence (SI) algorithms, including ant colony optimization, particle swarm
optimization, bee-inspired algorithms, bacterial foraging optimization, firefly algorithms, fish …

With the rapid development of logistics industry, vehicle scheduling is the key to the
optimization of transportation links. Vehicle transportation route planning is becoming more …

The growth in e-commerce that our society has faced in recent years is changing the view
companies have on last-mile logistics, due to its increasing impact on the whole supply …

Abstract The Artificial Bee Colony (ABC) algorithm is a swarm intelligence approach which
has initially been proposed to solve optimisation of mathematical test functions with a unique …

Stimulated by the growing demand for logistics services and the advances in information
technologies, research interest in the dynamic vehicle routing problem with random requests …

A new model and solution for the multi-objective heterogeneous vehicle routing and
scheduling problem, with energy minimizing, is presented in this paper. The concept of …

Dynamic vehicle routing problem (DVRP) has attracted increasing attention due to its wide
applications in logistics. Compared with the static vehicle routing problem, DVRP is …