Results 91 to 100 of about 1,200,755 (251)
A hyper-heuristic with a round robin neighbourhood selection [PDF]
, 2013 An iterative selection hyper-heuristic passes a solution through a heuristic selection process to decide on a heuristic to apply from a fixed set of low level heuristics and then a move acceptance process to accept or reject the newly created solution at
Ender Özcan (8405952) +1 more
core +2 more sources
CUSTOMHyS: Customising Optimisation Metaheuristics via Hyper-heuristic Search
SoftwareX, 2020 There is a colourful palette of metaheuristics for solving continuous optimisation problems in the literature. Unfortunately, it is not easy to pick a suitable one for a specific practical scenario. Moreover, oftentimes the selected metaheuristic must be
Jorge M. Cruz-Duarte +4 more
doaj +1 more source
A new index‐based hyper‐heuristic algorithm for global optimisation problems
IET Software, 2022 In this research study, a new combination search algorithm, based on indexing its constituent processes, is proposed to solve global optimisation problems.
Mohammad Reza Hasanzadeh +2 more
doaj +1 more source
Energy Conversion and Economics, EarlyView.Abstract An effective method for detecting cyberattacks is essential to the security of smart grids (SGs). In SGs, data from both cyber and physical domains can support attack detection. However, existing works insufficiently consider the heterogeneity, high dimensionality, and cross‐domain correlations of multi‐source data, affecting model ...
Qize Gao +5 more
wiley +1 more source
A unified hyper-heuristic framework for solving bin packing problems
, 2014 One- and two-dimensional packing and cutting problems occur in many commercial contexts, and it is often important to be able to get good-quality solutions quickly.
Ochoa, Gabriela +3 more
core +1 more source
Sub‐optimal Internet of Thing devices deployment using branch and bound method
IET Networks, EarlyView.The main contributions of this paper are (1) IoT network deployment problem formation as MILP problem to optimise the transmission among network nodes, and (2) New BB method with a machine learning function to reduce the computational complexity. Abstract The Internet of Thing (IoT) network deployments are widely investigated in 4G and 5G systems and ...
Haesik Kim
wiley +1 more source
IEEE AccessThe urgent demand to reduce carbon emissions due to global warming has driven innovative approaches in cloud computing. This paper introduces the Hyper-Heuristic for Cloud Scheduling Problems (HHCSP), a hyper-heuristic designed to optimize tasks in cloud
Vinicius Renan De Carvalho +1 more
doaj +1 more source
Hyper-Heuristic Approach for Improving Marker Efficiency
AUTEX Research Journal, 2018 Marker planning is an optimization arrangement problem, where a set of cutting parts need to be placed on a thin paper without overlapping to create a marker – an exact diagram of cutting parts that will be cut from a single spread.
Domović Daniel +2 more
doaj +1 more source
A Unified Framework of Graph-based Evolutionary Multitasking Hyper-heuristic
, 2021 In recent research, hyper-heuristics have attracted increasing attention among researchers in various fields. The most appealing feature of hyper-heuristics is that they aim to provide more generalized solutions to optimization problems by searching in a
Hao, Xingxing, Liu, Jing, Qu, Rong
core +1 more source
British Journal of Learning Disabilities, EarlyView.ABSTRACT Background People with learning disabilities often face significant challenges in understanding health information. Pictorial supports are widely assumed to improve communication for people with learning disabilities, yet little research examines how visual communication can be effectively designed for this group.
Alison Drewett +5 more
wiley +1 more source