In this paper, we describe the Factored Value MCTS Hybrid Cost-Max-Plus algorithm, a collection of decision-making algorithms (centralized, decentralized, and hybrid) for a multi-agent system in a collaborative setting that considers action costs. Our proposed algorithm is made up of two steps....

Path planning plays a crucial role in the navigation of mobile robots. Among the various path planning techniques, Q-learning (QL) has gained popularity as a reinforcement learning approach that exhibits the ability to learn without significant prior knowledge of the environment. However,...

Cross-docking is a logistics methodology employed in warehouses to gain a competitive advantage by consolidating and transferring freights directly from an inbound supplier to an outbound client with no or restricted storage. Real-time data processing is required for fast synchronisation of...

This paper aims to model and minimize transportation costs in collecting tree logs from several regions and delivering them to the nearest collection point. This paper presents agent-based modeling (ABM) that comprehensively encompasses the key elements of the pickup and delivery supply chain...

The goal of this paper is to provide insights into how scientific evidence can be used for policymaking and put evidence-based agriculture and food policies at the top of research and policy agendas. We illustrate how scientific evidence can be used in a targeted manner for better policymaking...

In this study, we develop a dynamic system model that exhibits only one stable solution (sink) to analyze the impact of various factors on low-carbon transition, including policy implications, energy consumption, and energy capacity. Our aim is to provide policy recommendations based on the...