Personnel scheduling: A literature review

J Van den Bergh, J Beliën, P De Bruecker… - European journal of …, 2013 - Elsevier
This paper presents a review of the literature on personnel scheduling problems. Firstly, we
discuss the classification methods in former review papers. Secondly, we evaluate the …

Hyper-heuristics: A survey of the state of the art

EK Burke, M Gendreau, M Hyde, G Kendall… - Journal of the …, 2013 - Taylor & Francis
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 …

[BOOK][B] Introduction to evolutionary computing

AE Eiben, JE Smith - 2015 - Springer
This is the second edition of our 2003 book. It is primarily a book for lecturers and graduate
and undergraduate students. To this group the book offers a thorough introduction to …

[HTML][HTML] Hyper-heuristics: A survey and taxonomy

T Dokeroglu, T Kucukyilmaz, EG Talbi - Computers & Industrial Engineering, 2024 - Elsevier
Hyper-heuristics are search techniques for selecting, generating, and sequencing (meta)-
heuristics to solve challenging optimization problems. They differ from traditional (meta) …

A Q-learning-based hyper-heuristic evolutionary algorithm for the distributed flexible job-shop scheduling problem with crane transportation

ZQ Zhang, FC Wu, B Qian, R Hu, L Wang… - Expert Systems with …, 2023 - Elsevier
With the globalization and sustainable development of the modern manufacturing industry,
distributed manufacturing and scheduling systems that consider environmental effects have …

A systematic literature review for personnel scheduling problems

EH Özder, E Özcan, T Eren - International Journal of Information …, 2020 - World Scientific
Organizations need to focus on many parameters to reach their goals such as personnel
satisfaction at the top level, profit maximization, increasing system efficiency and minimizing …

Automatic design of hyper-heuristic based on reinforcement learning

SS Choong, LP Wong, CP Lim - Information Sciences, 2018 - Elsevier
Hyper-heuristic is a class of methodologies which automates the process of selecting or
generating a set of heuristics to solve various optimization problems. A traditional hyper …

Hyflex: A benchmark framework for cross-domain heuristic search

G Ochoa, M Hyde, T Curtois… - … , EvoCOP 2012, Málaga …, 2012 - Springer
This paper presents HyFlex, a software framework for the development of cross-domain
search methodologies. The framework features a common software interface for dealing with …

Hybrid metaheuristics and multi-agent systems for solving optimization problems: A review of frameworks and a comparative analysis

MAL Silva, SR de Souza, MJF Souza… - Applied Soft …, 2018 - Elsevier
This article presents a review and a comparative analysis between frameworks for solving
optimization problems using metaheuristics. The aim is to identify both the desirable …

Grammatical evolution hyper-heuristic for combinatorial optimization problems

NR Sabar, M Ayob, G Kendall… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
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 …