85 Result(s)

Article

The practice and theory of automated timetabling (2016)

Ender Özcan, Edmund K. Burke, Luca Di Gaspero… in Annals of Operations Research (2019)

Chapter

A Classification of Hyper-Heuristic Approaches: Revisited

Hyper-heuristics comprise a set of approaches that aim to automate the development of computational search methodologies. This chapter overviews previous categorisations of hyper-heuristics and provides a unif...

Edmund K. Burke, Matthew R. Hyde, Graham Kendall… in Handbook of Metaheuristics (2019)

Reference Work Entry In depth

Hyper-heuristics

This chapter presents a literature review of the main advances in the field of hyper-heuristics, since the publication of a survey paper in 2013. The chapter demonstrates the most recent advances in hyper-heur...

Michael G. Epitropakis, Edmund K. Burke in Handbook of Heuristics (2018)

Chapter and Conference Paper

Late Acceptance Hill Climbing for Constrained Covering Arrays

The Late Acceptance Hill-Climbing (LAHC) algorithm is a one-point search meta-heuristic with a single parameter. Like Simulated Annealing (SA) it sometimes accepts worsening moves, however it is far more simpl...

Mosab Bazargani, John H. Drake, Edmund K. Burke in Applications of Evolutionary Computation (2018)

Living Reference Work Entry In depth

Hyper-heuristics

This chapter presents a literature review of the main advances in the field of hyper-heuristics, since the publication of a survey paper in 2013. The chapter demonstrates the most recent advances in hyper-heur...

Michael G. Epitropakis, Edmund K. Burke in Handbook of Heuristics

Chapter and Conference Paper

An Iterated Local Search Framework with Adaptive Operator Selection for Nurse Rostering

Considerable attention has been paid to selective hyper-heuristic frameworks for addressing computationally hard scheduling problems. By using selective hyper-heuristics, we can derive benefits from the streng...

Angeliki Gretsista, Edmund K. Burke in Learning and Intelligent Optimization (2017)

Article

The Practice and Theory of Automated Timetabling (2012)

Ender Özcan, Edmund K. Burke, Barry McCollum, Dag Kjenstad… in Annals of Operations Research (2016)

Chapter and Conference Paper

The Multi-Funnel Structure of TSP Fitness Landscapes: A Visual Exploration

We use the Local Optima Network model to study the structure of symmetric TSP fitness landscapes. The ‘big-valley’ hypothesis holds that for TSP and other combinatorial problems, local optima are not randomly ...

Gabriela Ochoa, Nadarajen Veerapen, Darrell Whitley… in Artificial Evolution (2016)

Article

On parallel local search for permutations

We investigate some ways in which massively parallel computing devices can be exploited in local search algorithms. We show that the substantial speedups that can be gained from parallel neighbourhood evaluati...

Atle Riise, Edmund K Burke in Journal of the Operational Research Society (2015)

Chapter and Conference Paper

Modified Choice Function Heuristic Selection for the Multidimensional Knapsack Problem

Hyper-heuristics are a class of high-level search methods used to solve computationally difficult problems, which operate on a search space of low-level heuristics rather than solutions directly. Previous work...

John H. Drake, Ender Özcan, Edmund K. Burke in Genetic and Evolutionary Computing (2015)

Article

An analysis of constructive algorithms for the airport baggage sorting station assignment problem

The assignment of airport resources can significantly affect the quality of service provided by airlines and airports. High quality assignments can support airlines and airports in adhering to published schedu...

Amadeo Ascó, Jason A. D. Atkin, Edmund K. Burke in Journal of Scheduling (2014)

Article

A more realistic approach for airport ground movement optimisation with stand holding

In addition to having to handle constantly increasing numbers of aircraft, modern airports also have to address a wide range of environmental regulations and requirements. As airports work closer and closer to...

Stefan Ravizza, Jason A. D. Atkin, Edmund K. Burke in Journal of Scheduling (2014)