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 …

Educational timetabling problems, namely, university examination timetabling, university
course timetabling and school timetabling, are combinatorial optimization problems …

This paper introduces a new and very simple search methodology called Late Acceptance
Hill-Climbing (LAHC). It is a local search algorithm, which accepts non-improving moves …

Hyper-heuristics are search methodologies that aim to provide high-quality solutions across
a wide variety of problem domains, rather than developing tailor-made methodologies for …

Hyper-heuristics can be identified as methodologies that search the space generated by a
finite set of low level heuristics for solving search problems. An iterative hyper-heuristic …

Wind farm layout optimisation is a challenging real-world problem which requires the
discovery of trade-off solutions considering a variety of conflicting criteria, such as …

This paper proposed a novel approach for a practical version of the cold chain, namely
location-routing problem-based low-carbon cold chain (LRPLCCC). In the proposed bi …

Capacity limitations, combined with increased air-traffic, continue to drive the need for better
resource management at airports. At congested airports, the allocation of resources for …

A selection hyper-heuristic is a high level search methodology which operates over a fixed
set of low level heuristics. During the iterative search process, a heuristic is selected and …

In this paper, we introduce a multi-objective selection hyper-heuristic approach combining
Reinforcement Learning,(meta) heuristic selection, and group decision-making as …