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A Classification of Hyper-heuristic Approaches
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
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
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
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
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
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]
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
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
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
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

