The purpose of this paper is to explore the applications of quantum computing to energy
systems optimization problems and discuss some of the challenges faced by quantum …

This article describes the key challenges and opportunities in modeling and optimization of
biomass-to-bioenergy supply chains. It reviews the major energy pathways from terrestrial …

Biomass is a valuable renewable source of energy as an alternative to fossil fuels. The main
barriers in biomass and biofuel development are feedstock high cost, lack of reliable supply …

Optimal network design is a key factor in the enhancement of the economic, environmental,
and social performance and efficiency of the biomass supply chain (BSC), and this is why it …

The growing global population and its effects on world food security, as well as the urgency
for climate change mitigation, are issues that foster technological, social, and political …

Despite rapid advances of information technologies for intelligent parking systems, it
remains a challenge to optimally manage limited parking resources in busy urban …

Concerns about climate change have driven research on the production of lipid-derived
biofuels as an alternative and renewable liquid fuel source. Using oleaginous yeasts for lipid …

We propose a bilevel mixed-integer nonlinear programming (MINLP) model for the optimal
design and planning of non-cooperative supply chains from the manufacturer's perspective …

While Stackelberg leader–follower games and bilevel programming have become
increasingly prevalent in game-theoretic modeling and optimization of decentralized supply …

Over recent years, globalization has become the most rapidly develo** and most
influential aspect for economic growth in develo** countries. As develo** countries …