Results 41 to 50 of about 1,136 (193)
Towards the Design of Heuristics by Means of Self-Assembly [PDF]
, 2010 The current investigations on hyper-heuristics design have sprung up in two different flavours: heuristics that choose heuristics and heuristics that generate heuristics.
Dario Landa-Silva +5 more
core +5 more sources
Algorithms, 2022 Hyper-heuristics are widely used for solving numerous complex computational search problems because of their intrinsic capability to generalize across problem domains.
Stephen A. Adubi +2 more
doaj +1 more source
A Hyperheuristic Approach for Unsupervised Land-Cover Classification [PDF]
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016 Unsupervised land-use/cover classification is of great interest, since it becomes even more difficult to obtain high-quality labeled data. Still considered one of the most used clustering techniques, the well-known $k$ -means plays an important role in the pattern recognition community.
João Paulo Papa +3 more
openaire +2 more sources
A Hyper-Heuristic for the Orienteering Problem With Hotel Selection
IEEE Access, 2020 We present a hyper-heuristic approach to solve Orienteering Problem with Hotel Selection (OPHS). In practical applications, OPHS appears when a tourist is planning to visit various attractions and there is not enough time to reach all of them in a single
Alan Toledo +2 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
A Hyperheuristic Approach to Scheduling a Sales Summit [PDF]
, 2001 The concept of a hyperheuristic is introduced as an approach that operates at a higher lever of abstraction than current metaheuristic approaches. The hyperheuristic manages the choice of which lower-level heuristic method should be applied at any given time, depending upon the characteristics of the region of the solution space currently under ...
Peter I. Cowling +2 more
openaire +1 more source
A Multi-Objective Hyper-Heuristic Clustering Algorithm for Formulas in Traditional Chinese Medicine
IEEE Access, 2023 Syndrome types are important for diagnosis and treatment in traditional Chinese medicine. Syndrome types can be summarized by domain experts as formula clusters.
Wen Shi +4 more
doaj +1 more source
A multi-objective hyper-heuristic based on choice function [PDF]
, 2014 Hyper-heuristics are emerging methodologies that perform a search over the space of heuristics in an attempt to solve difficult computational optimization problems.
Kendall, Graham +2 more
core +2 more sources
Location planning techniques for Internet provider service unmanned aerial vehicles during crisis
Results in EngineeringIn situations where conventional communication networks are compromised, deploying Internet Provider Service Unmanned Aerial Vehicles (UAVs) becomes essential for re-establishing connectivity.
Kassem Danach +4 more
doaj +1 more source
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