Hyper-heuristics comprise a set of approaches that are motivated (at least in part) by the
goal of automating the design of heuristic methods to solve hard computational search …

Over the last decades, researchers have studied one of the most complex combinatorial
problems, ie, the Concrete Delivery Problem (CDP), set different formulations of it …

The urban transit routing problem (UTRP) focuses on finding efficient travelling routes for
vehicles in a public transportation system. It is one of the most significant problems faced by …

Gully pots or storm drains are located at the side of roads to provide drainage for surface
water. We consider gully pot maintenance as a risk-driven maintenance problem. We …

The present study proposes a new selection hyper-heuristic providing several adaptive
features to cope with the requirements of managing different heuristic sets. The approach …

This study presents an approach for improving the operations of production and delivery in
ready-mixed concrete (RMC) plants. A network flow method is applied to formulate the …

From an operational point of view, Ready-Mixed Concrete Suppliers are faced with
challenging operational problems such as the acquisition of raw materials, scheduling of …

Hyper-heuristic methods for solving vehicle routing problems (VRP) have proved promising
on a range of data. The vast majority of approaches apply selective hyper-heuristic methods …

Hyper-heuristics are high-level search methodologies used to find solutions to difficult real-
world optimisation problems. Hyper-heuristics differ from many traditional optimisation …

The present study concentrates on the generality of selection hyper-heuristics across
various problem domains with a focus on different heuristic sets in addition to distinct …