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 …
discuss the classification methods in former review papers. Secondly, we evaluate the …
Hyper-heuristics: A survey of the state of the art
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 …
goal of automating the design of heuristic methods to solve hard computational search …
[BOOK][B] Introduction to evolutionary computing
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 …
and undergraduate students. To this group the book offers a thorough introduction to …
[HTML][HTML] Hyper-heuristics: A survey and taxonomy
Hyper-heuristics are search techniques for selecting, generating, and sequencing (meta)-
heuristics to solve challenging optimization problems. They differ from traditional (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 …
distributed manufacturing and scheduling systems that consider environmental effects have …
A systematic literature review for personnel scheduling problems
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 …
satisfaction at the top level, profit maximization, increasing system efficiency and minimizing …
Automatic design of hyper-heuristic based on reinforcement learning
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 …
generating a set of heuristics to solve various optimization problems. A traditional hyper …
Hyflex: A benchmark framework for cross-domain heuristic search
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 …
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
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 …
optimization problems using metaheuristics. The aim is to identify both the desirable …
Grammatical evolution hyper-heuristic for combinatorial optimization problems
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 …
challenging task. In this work, we propose a hyper-heuristic framework to automatically …