Learning and optimization are the two essential abilities of human beings for problem
solving. Similarly, computer scientists have made great efforts to design artificial neural …

Ant colony optimization (ACO) algorithm is one of the most popular swarm-based algorithms
inspired by the behavior of an ant colony to find the shortest path for food. The multi …

Protein structure prediction (PSP) is an important scientific problem because it helps
humans to understand how proteins perform their biological functions. This paper models …

Gene selection (GS) is an important branch of interest within the field of feature selection,
which is widely used in cancer classification. It provides essential insights into the …

Cold chain logistics networks represent intricate systems that require harmonisation of their
influence on the economy, environment, and society. However, simultaneously achieving …

How to effectively improve the cargo assembly and multi-vehicle stratified planning has
become an urgent problem to be solved. In this paper, Multi-Agent Reinforcement Learning …

In the operational, strategic and tactical decision-making problems of the agri-food supply
chain, the perishable nature of the commodities can represent a particular complexity …

Abstract 'Cold chains' are specialised supply chains that help preserve the quality of
temperature-sensitive products, from procurement to fulfilment. They are vital for essential …

The operational aircraft maintenance routing problem (OAMRP) plays a critical part in
producing considerable cost reductions for airlines, since its solution directly influences the …

The demand responsive transit (DRT) is a type of bus that does not have a fixed route and
provides flexible travel services within a certain area range based on passengers' needs …