Results 51 to 60 of about 7,687 (217)
A genetic programming hyper-heuristic for the multidimensional knapsack problem [PDF]
, 2014 Purpose: Hyper-heuristics are a class of high-level search techniques which operate on a search space of heuristics rather than directly on a search space of solutions.
David Griffiths +6 more
core +2 more sources
A Sequence-Based Hyper-Heuristic for Traveling Thieves
Applied Sciences, 2022 A plethora of combinatorial optimization problems can be linked to real-life decision scenarios. Even nowadays, more diverse and complex problems are popping up. One of these problems is the traveling thief problem (TTP), which combines elements from the
Daniel Rodríguez +3 more
doaj +1 more source
Hyper-heuristics: A survey and taxonomy
Computers & Industrial EngineeringHyper-heuristics are search techniques for selecting, generating, and sequencing (meta)-heuristics to solve challenging optimization problems. They differ from traditional (meta)-heuristics methods, which primarily employ search space-based optimization strategies.
Dokeroglu, Tansel +2 more
openaire +2 more sources
Enhancing Selection Hyper-Heuristics via Feature Transformations [PDF]
IEEE Computational Intelligence Magazine, 2018 Hyper-heuristics are a novel tool. They deal with complex optimization problems where standalone solvers exhibit varied performance. Among such a tool reside selection hyper-heuristics. By combining the strengths of each solver, this kind of hyper-heuristic offers a more robust tool.
Amaya, I. +6 more
openaire +2 more sources
Non‐Equilibrium Synthesis Methods to Create Metastable and High‐Entropy Nanomaterials
Advanced Science, EarlyView.ABSTRACT Stabilizing multiple elements within a single phase enables the creation of advanced materials with exceptional properties arising from their complex composition. However, under equilibrium conditions, the Hume–Rothery rules impose strict limitations on solid‐state miscibility, restricting combinations of elements with mismatched crystal ...
Shuo Liu +3 more
wiley +1 more source
A hyper-heuristic for adaptive scheduling in computational grids [PDF]
, 2007 In this paper we present the design and implementation of an hyper-heuristic for efficiently scheduling independent jobs in computational grids.
Xhafa Xhafa, Fatos
core +1 more source
A memetic algorithm for the university course timetabling problem [PDF]
, 2008 This article is posted here with permission from IEEE - Copyright @ 2008 IEEEThe design of course timetables for academic institutions is a very hectic job due to the exponential number of possible feasible timetables with respect to the problem size ...
Jat, SN, Yang, S
core +2 more sources
Application of Heuristic Combinations within a Hyper-Heuristic Framework for Exam Timetabling
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2020 Examination Timetabling Problem is one of the optimization and combinatorial problems. It is proved to be a non-deterministic polynomial (NP)-hard problem.
Gabriella Icasia +2 more
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.This work introduces a novel framework for identifying non‐small cell lung cancer biomarkers from hundreds of volatile organic compounds in breath, analyzed via gas chromatography‐mass spectrometry. This method integrates generative data augmentation and multi‐view feature selection, providing a stable and accurate solution for biomarker discovery in ...
Guancheng Ren +10 more
wiley +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