Results 131 to 140 of about 7,821 (233)

Harmony Search Algorithm for Patient Admission Scheduling Problem

Journal of Intelligent Systems, 2018
The patient admission scheduling (PAS) problem is an optimization problem in which we assign patients automatically to beds for a specific period of time while preserving their medical requirements and their preferences. In this paper, we present a novel
Abu Doush Iyad, Al-Betar Mohammed Azmi, Awadallah Mohammed A., Hammouri Abdelaziz I., Al-Khatib Ra’ed M., ElMustafa Saba, ALkhraisat Habes   +6 more
doaj   +1 more source

Offline Learning for Selection Hyper-heuristics with Elman Networks [PDF]

, 2017
This is the author accepted manuscript. The final version is available from the publisher via the link in this record.Offline selection hyper-heuristics are machine learning methods that are trained on heuristic selections to create an algorithm that is ...
Keedwell, E, Yates, W
core  

Closing the Supply Chain Loop: From Circular Product Cues to Post‐Use Behavior

Journal of Business Logistics, Volume 47, Issue 2, April 2026.
ABSTRACT This research investigates consumer engagement in closed‐loop supply chains (CLSCs) for fast‐moving consumer goods (FMCGs). We argue that closing the loop effectively begins with the product's design and the signals it sends to the consumer.
Bridget Nichols, Ilenia Confente, Ivan Russo   +2 more
wiley   +1 more source

Hybrid heuristic for multi-carrier transportation plans [PDF]

, 2011
This paper describes a hybrid heuristic approach to construct transportation plans for a singlecustomer multi-carrier scenario that arises at 3T Logistics Ltd, a UK company that provides outsourced transportation planning and management services.
Donovan, Paul, Kendall, Graham, Landa-Silva, Dario, Wang, Yijun   +3 more
core  

Fast and Slow Signal Propagation in Abiotic Polypeptide Assemblies

ChemBioChem, Volume 27, Issue 6, 27 March 2026.
Proteinoid microspheres formed by thermal polymerization of amino acids exhibit spontaneous electrical potential fluctuations without genetic material, membranes, or ion channels. Multi‐electrode recordings and electron microscopy reveal composition‐dependent voltage oscillations, long‐term drifts, and correlated signals across electrodes.
Panagiotis Mougkogiannis, Andrew Adamatzky   +1 more
wiley   +1 more source

A Study on Container Storage Optimization in Yards Based on a Hyper-Heuristic Algorithm with a Q-Learning Mechanism

International Journal of Computational Intelligence Systems
In the context of a low-carbon economy, scientific methods to reduce carbon emissions have become an important issue for many ports. Carbon emissions in port areas mainly arise from vessels and handling equipment.
Lifen Chen, Jiajun Lin, Shihao Xu
doaj   +1 more source

Hyper-Heuristic Capacitance Array Method for Multi-Metal Wear Debris Detection. [PDF]

Sensors (Basel), 2019
Sun Y, Jia L, Zeng Z.
europepmc   +1 more source

Hyper-heuristics for grouping problems

, 2020
Hyper-heuristics emerge as domain independent methodologies to solve hard computational search problems by performing search over the heuristics rather than directly solutions. One of the main goals of hyper-heuristic research is to support and investigate into the development of more general approaches applicable across different problem domains ...
openaire   +1 more source

A steady state micro genetic algorithm for hyper-heuristic generation in one-dimensional bin packing. [PDF]

Sci Rep
Juárez J, Falcón-Cardona JG, Ortiz-Bayliss JC.   +2 more
europepmc   +1 more source

WHFDL: an explainable method based on World Hyper-heuristic and Fuzzy Deep Learning approaches for gastric cancer detection using metabolomics data. [PDF]

BioData Min
Mahdavi N, Daliri A, Zabihimayvan M, Yaghooti Y, Mir MM, Ghazanfari P, Zarrabi A, Khalaj P, Sadeghi R.   +8 more
europepmc   +1 more source