Particle swarm optimization (PSO) is a heuristic global optimization method, proposed
originally by Kennedy and Eberhart in 1995. It is now one of the most commonly used …

This article presents a survey of genetic algorithms that are designed for solving multi depot
vehicle routing problem. In this context, most of the articles focus on different genetic …

Abstract City Logistics Centers (CLC) are an important part of the modern urban logistics
system, and the selection of the location of a CLC has become a key problem in logistics …

This paper provides a detailed review of metaheuristic applications on discrete facility
location problems. The objective of this paper is to provide a concise summary of solution …

Particle swarm optimization (PSO) is a population-based stochastic search technique for
solving optimization problems over continuous space, which has been proven to be efficient …

Group decision making is a type of decision problem in which multiple experts acting
collectively, analyze problems, evaluate alternatives, and select a solution from a collection …

To ensure viability, it is necessary for an intertwined supply network (ISN) system to optimise
network structure to provide flexible redundancy in response to changing environment …

Relief logistics is one of the most important elements of a relief operation. This paper
investigates a relief chain design problem where not only demands but also supplies and …

Hubs are critical components of transportation and distribution systems, and hub networks
play a special role in freight and passenger transportation services worldwide. This paper …

Particle swarm optimization (PSO) is a heuristic optimization technique which was inspired
by flocking and swarming behavior of birds and insects. Same as other swarm intelligent …