Results 71 to 80 of about 1,200,755 (251)

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

South 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  

Contrasting meta-learning and hyper-heuristic research: the role of evolutionary algorithms [PDF]

, 2014
The fields of machine meta-learning and hyper-heuristic optimisation have developed mostly independently of each other, although evolutionary algorithms (particularly genetic programming) have recently played an important role in the development of both ...
Swan, Jerry, Freitas, Alex A, Pappa, Gisele L, Ochoa, Gabriela, Woodward, John, Hyde, Matthew, Freitas, Alex A.   +6 more
core   +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

Human 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, Karen E. Watkins, Victoria J. Marsick, Dimitrios Papanagnou, Urvashi Vaid   +4 more
wiley   +1 more source

Efficient First‐Principles Inverse Design of Nanolasers

Laser &Photonics Reviews, EarlyView.
This article introduces a first‐principles inverse‐design framework for nanolasers that directly incorporates nonlinear lasing physics. By unifying steady‐state ab‐initio laser theory (SALT) with topology optimization, it reveals how spatial hole burning, gain saturation, and cavity‐emitter coupling shape laser performance, enabling efficient discovery
Beñat Martinez de Aguirre Jokisch, Alexander Cerjan, Rasmus Ellebæk Christiansen, Jesper Mørk, Ole Sigmund, Steven G. Johnson   +5 more
wiley   +1 more source

Effective Solution of University Course Timetabling using Particle Swarm Optimizer based Hyper Heuristic approach

مجلة بغداد للعلوم, 2021
The university course timetable problem (UCTP) is typically a combinatorial optimization problem. Manually achieving a useful timetable requires many days of effort, and the results are still unsatisfactory. unsatisfactory. Various states of art methods (
Zahid Iqbal, Rafia Ilyas, Huah Yong Chan, Naveed Ahmed   +3 more
doaj   +1 more source

Hybrid Graph Heuristics within a Hyper-heuristic Approach to Exam Timetabling Problems [PDF]

, 2004
This paper is concerned with the hybridization of two graph coloring heuristics (Saturation Degree and Largest Degree), and their application within a hyperheuristic for exam timetabling problems.
Edmund Burke, Burke, Edmund, Rong Qu, Qu, Rong, Sanja Petrovic, Moshe Dror, Dror, Moshe, Petrovic, Sanja   +7 more
core  

Surprise Marketing

Psychology &Marketing, EarlyView.
ABSTRACT Surprise marketing, characterized by unexpected tactics such as blind boxes and spontaneous discounts, captivates consumers by sparking curiosity and participation. Despite increasing industry use, scholarly research remains fragmented and limited.
Xin‐Jean Lim, Weng Marc Lim, Park Thaichon   +2 more
wiley   +1 more source

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

IEEE 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

Dependence of the Extra‐Cellular Diffusion Coefficient on the Fractions of Neurites and Cell Bodies in Gray Matter

Magnetic Resonance in Medicine, EarlyView.
Purpose The dependence of the long‐time (tortuosity) limit of the extra‐cellular diffusivity on the intra‐cellular volume fraction is of fundamental importance for microstructure modeling. While such dependencies have been explored for the white matter, the tortuosity limit in gray matter is unknown due to complex cell composition and geometry. Here we
Hong‐Hsi Lee, Ali Abdollahzadeh, Hansol Lee, Ricardo Coronado‐Leija, Els Fieremans, Susie Y. Huang, Dmitry S. Novikov   +6 more
wiley   +1 more source

A case study of controlling crossover in a selection hyper-heuristic framework using the multidimensional knapsack problem [PDF]

, 2015
Hyper-heuristics are high-level methodologies for solving complex problems that operate on a search space of heuristics. In a selection hyper-heuristic framework, a heuristic is chosen from an existing set of low-level heuristics and applied to the ...
Drake, John H., Burke, Edmund, Drake, JH, Özcan, Ender, Özcan, E, �zcan, Ender, Drake, John, Burke, EK   +7 more
core   +1 more source