Hyper-Heuristic Based on ACO and Local Search for Dynamic Optimization Problems
Algorithms, 2021 Hyper-heuristics comprise a set of approaches that are motivated (at least in part) by the objective of intelligently combining heuristic methods to solve hard optimization problems.
Felipe Martins Müller +1 more
doaj +1 more source
A Component Based Heuristic Search Method with Evolutionary Eliminations [PDF]
, 2008 Nurse rostering is a complex scheduling problem that affects hospital personnel on a daily basis all over the world. This paper presents a new component-based approach with evolutionary eliminations, for a nurse scheduling problem arising at a major UK ...
Ahuja R. K. +23 more
core +6 more sources
An apprenticeship learning hyper-heuristic for vehicle routing in HyFlex [PDF]
, 2014 Apprenticeship learning occurs via observations while an expert is in action. A hyper-heuristic is a search method or a learning mechanism that controls a set of low level heuristics or combines different heuristic components to generate heuristics for ...
Asta, Shahriar, Özcan, Ender
core +2 more sources
A Hyper-Heuristic for Descriptive Rule Induction [PDF]
International Journal of Data Warehousing and Mining, 2007 There are in general three approaches to rule induction: exhaustive search, divide-and conquer, and separate-and-conquer (or its extension as weighted covering). Among them, the third approach, according to different rule search heuristics, can avoid the problem of producing many redundant rules (limitation of the first approach) or non-overlapping ...
Tho Hoan Pham, Tu Bao Ho
openaire +1 more source
Scheduling the Australian football league [PDF]
, 2017 Generating a schedule for a professional sports league is an extremely demanding task. Good schedules have many benefits for the league, such as higher attendance and TV viewership, lower costs, and increased fairness.
Goossens, Dries +5 more
core +2 more sources
The Scientific Landscape of Hyper-Heuristics: A Bibliometric Analysis Based on Scopus
AlgorithmsHyper-heuristics emerged as a broader metaheuristic framework to address the limitations of traditional optimization heuristics. By abstracting the design of low-level heuristics, hyper-heuristics offer a flexible and adaptable approach to solving ...
Helen C. Peñate-Rodríguez +3 more
doaj +1 more source
A Survey of the Nurse Rostering Solution Methodologies: The State-of-the-Art and Emerging Trends
IEEE Access, 2022 This paper presents an overview of recent advances for the Nurse Rostering Problem (NRP) based on methodological papers published between 2012 to 2021.
Chong Man Ngoo +5 more
doaj +1 more source
A dynamic multiarmed bandit-gene expression programming hyper-heuristic for combinatorial optimization problems [PDF]
, 2015 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 each problem instance/domain.
Graham Kendall +5 more
core +4 more sources
Wireless edge device intelligent task offloading in mobile edge computing using hyper-heuristics
EURASIP Journal on Advances in Signal Processing, 2022 To overcome with the computation limitation of resource-constrained wireless IoT edge devices, providing an efficient task computation offloading and resource allocation in distributed mobile edge computing environment is consider as a challenging and ...
B. Vijayaram, V. Vasudevan
doaj +1 more source
Heuristic generation via parameter tuning for online bin packing [PDF]
, 2014 Online bin packing requires immediate decisions to be made for placing an incoming item one at a time into bins of fixed capacity without causing any overflow. The goal is to maximise the average bin fullness after placement of a long stream of items.
Asta, Shahriar +3 more
core +2 more sources