In recent years, various kinds of logistics businesses have increased rapidly, and unreasonable transportation, storage, packaging, and recycling have caused pollution to the environment. China is promoting green development through structural adjustments and speeding up the establishment of a green and low-carbon logistics and transportation service system. Therefore, there is a need for research that focuses on models and algorithms in green transportation networks and green warehousing, along with green packaging.

Unreasonable transportation, warehousing, packaging, recycling, and other problems also have other challenges. For example, the location and layout of warehouses and the application of technologies can have an impact on the environment. The phenomenon of driving far and near and circuitous transportation, empty driving, and overloading in transportation will increase energy consumption, cause great waste, and pollute the environment. Green packaging waste has low efficiency in harmless treatment. Nowadays, chaotic transportation, unreasonable storage, and packaging have been some of the main sources of carbon emissions that cause climate change. Under these circumstances, green principles and mathematical models should be adopted in green logistics management to minimize the negative impact on the environment. What matters is which algorithms should be proposed to give efficient solutions to the problem.

This Special Issue is dedicated to the study of mathematical modeling and algorithm optimization of green logistics, aiming to promote more researchers to form innovations and theoretical studies and promote further expansion of research on green logistics and sustainable development. Original research and review articles are welcome.

Potential topics include but are not limited to the following:

• Research on green port operation optimization
• Research on green transportation organization
• Collaborative innovation management research on enterprise green supply chain and sustainable development optimization
• Optimization and decision-making of medical green supply chain
• Research on optimization problems related to reverse logistics