Multi-population based nature-inspired optimization algorithms have attracted wide research
interests in the last decade, and become one of the frequently used methods to handle real …

We propose an optimization approach to the routing and scheduling problem for a
heterogeneous transportation network that considers (i) stochastic values of demand and …

Long truck queues at gates often limit the efficiency of a container terminal and generate
serious air pollution. To reduce the gate congestion, this paper proposes a method called …

This paper focuses on optimizing the long-and short-term planning of the perishable product
supply chain network (PPSCN). It addresses the integration of strategic location, tactical …

The dynamic and ever-evolving landscape of modern technologies, consumer preferences,
and competitive forces pose a perpetual challenge to the adaptive capabilities and …

Two-echelon logistics distribution region partitioning is a critical step to optimize two or multi-
echelon logistics distribution network, and it aims to assign distribution unit to a certain …

This paper addresses a green transportation scheduling problem with realistic constraints
widely existing in make-to-order manufacturing supply chains, such as pickup time and …

It is necessary to consider both the reservation and real-time travel demand in order to
coordinate and optimize vehicle routing and scheduling. In this paper, a two-step …

This paper studies the location–allocation–configuration problem of emergency resources in
a maritime emergency system and it proposes a discrete nonlinear integer-programming …

This study aims at reducing energy consumption in supply chain networks by providing
optimal integrated production and transportation scheduling. The considered supply chain …