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 …

This paper presents a review pertaining to assignment problem within the education
domain, besides looking into the applications of the present research trend, developments …

Meta-heuristics such as simulated annealing, genetic algorithms and tabu search have been
successfully applied to many difficult optimization problems for which no satisfactory …

As the development of economic globalization, the distributed manufacturing has become
common in modern industries. The scheduling of production resources in multiple …

This paper proposes a novel hybrid t-way test generation strategy (where t indicates
interaction strength), called High Level Hyper-Heuristic (HHH). HHH adopts Tabu Search as …

Given their economic importance, there is continuing research interest in providing better
and better solutions to real-world scheduling problems. The models for such problems are …

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

Hyper-heuristics are proposed as a higher level of abstraction as compared to the
metaheuristics. Hyper-heuristic methods deploy a set of simple heuristics and use only non …

Designing generic problem solvers that perform well across a diverse set of problems is a
challenging task. In this work, we propose a hyper-heuristic framework to automatically …