Results 41 to 50 of about 1,346,527 (187)

A Classification of Hyper-heuristic Approaches

open access: yes, 2010
The current state of the art in hyper-heuristic research comprises a set of approaches that share the common goal of automating the design and adaptation of heuristic methods to solve hard computational search problems.
Kendall, Graham   +11 more
core   +1 more source

A Study of Evolutionary Algorithm Selection Hyper-Heuristics for the One-Dimensional Bin-Packing Problem

open access: yesSouth African Computer Journal, 2012
Hyper-heuristics are aimed at providing a generalized solution to optimization problems rather than producing the best result for one or more problem instances.
Nelishia Pillay
doaj  

Application of Heuristic Combinations within a Hyper-Heuristic Framework for Exam Timetabling

open access: yesJurnal 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

Psychopathological and Temperamental Stratification of Eating Disorders With Clustering: From Diagnosis to Phenotypic Diversity

open access: yesEuropean Eating Disorders Review, EarlyView.
ABSTRACT Objective Eating disorders are highly heterogeneous, challenging diagnostic classification and treatment personalisation. This study aimed to identify data‐driven phenotypes of anorexia nervosa and bulimia nervosa and examine their relationship with DSM‐5 diagnoses and short‐term treatment outcomes. Methods We analysed 809 female patients with
Andrea Zanola   +5 more
wiley   +1 more source

“Thinking Out Loud” and “Pivoting on the Fly”—An Empirical Review and Critical Incident Study of How Physicians Engage in Incidental Learning Amidst Complexity

open access: yesHuman Resource Development Quarterly, EarlyView.
ABSTRACT This study explores incidental learning among physicians navigating uncertainty during the COVID‐19 pandemic. Using a constructivist research design, we conducted a literature review of 13 empirical studies on incidental learning in complexity and analyzed critical incident interviews with 12 emergency medicine and intensive care physicians ...
Henriette Lundgren   +4 more
wiley   +1 more source

A hyper-heuristic approach to sequencing by hybridization of DNA sequences

open access: yes, 2013
In this paper we investigate the use of hyper-heuristic methodologies for predicting DNA sequences. In particular, we utilize Sequencing by Hybridization. We believe that this is the first time that hyper-heuristics have been investigated in this domain.
Kendall, Graham   +5 more
core   +1 more source

The automatic design of hyper-heuristic framework with gene expression programming for combinatorial optimization problems [PDF]

open access: yes, 2014
Hyper-heuristic approaches aim to automate heuristic design in order to solve multiple problems instead of designing tailor-made methodologies for individual problems.
Kendall, Graham   +4 more
core   +2 more sources

Machine Learning-Driven Tri-Level Hyper-Heuristic Selection With Adaptive Move Acceptance for Composing Medical Crew Scheduling Problem

open access: yesIEEE Access
Driven by the growing demand for adaptive and automated search control in combinatorial optimization, hyper-heuristic frameworks have become an important approach for handling heterogeneous problem instances.
Alaa Khudhair Abbas, Esam Taha Yassen
doaj   +1 more source

A Sequence-Based Hyper-Heuristic for Traveling Thieves

open access: yesApplied 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

Minds Versus Codes: Triangulating Neurophysiological and Qualitative Responses to AI‐Generated Versus Human‐Made Video Advertisements

open access: yesPsychology &Marketing, EarlyView.
ABSTRACT This experimental study compares how consumers engage with AI‐generated and human‐created advertisements, specifically examining patterns of visual attention, emotional and cognitive responses, attitudes toward AI, and whether emotional resonance fosters brand trust or future behavioral intentions.
Mariia Shitova   +3 more
wiley   +1 more source

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