Results 131 to 140 of about 7,687 (217)

Optimizing Total Suspended Solids Mitigation in a Data‐Limited Watershed: A Network‐Based Advection–Reaction Model Applied to the Canal del Dique, Colombia

Water Resources Research, Volume 62, Issue 2, February 2026.
Abstract Total Suspended Solids (TSS) significantly degrade water quality by reducing light penetration and oxygen availability, while facilitating the transport of toxic contaminants. Managing TSS in watersheds requires an understanding of both hydrological connectivity and pollutant dynamics; however, these efforts are significantly constrained by ...
Jesus Guzmán Pérez, Javier Montoya Martinez, David Angulo‐Garcia   +2 more
wiley   +1 more source

Markov Chain Selection Hyper-heuristic for the Optimisation of Constrained Magic Squares [PDF]

, 2016
UKCI 2015: UK Workshop on Computational Intelligence, University of Exeter, UK, 7-9 September 2015A square matrix of size n × n, containing each of the numbers (1, . . .
Keedwell, EC, Kheiri, A
core  

Fluctuating Growth Rates Link Turnover and Unevenness in Species‐Rich Communities

Ecology Letters, Volume 29, Issue 2, February 2026.
Through a minimal model of ecological community dynamics, we explain how the interplay between environmental stochasticity, intra‐ and interspecific competition and dispersal relates to the maintenance of diversity, the commonness of rarity and compositional turnover.
Emil Mallmin, Arne Traulsen, Silvia De Monte   +2 more
wiley   +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  

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

Local‐Hybrid Functional With a Composite Local Mixing Function Built From a Neural Network and a Strong‐Correlation Model

Journal of Computational Chemistry, Volume 47, Issue 3, 30 January 2026.
A new local hybrid functional, LH25nP, is reported, that uses a neural‐network local mixing function for the position‐dependence of exact‐exchange admixture trained with a human‐designed strong‐correlation factor. It thereby escapes the usual zero‐sum game between delocalization and static‐correlation errors.
Artur Wodyński, Martin Kaupp
wiley   +1 more source

A Heuristic-Based Evolutionary Approach for Joint Optimization of Job Shop Scheduling and Facility Layout

IEEE Access
Job shop scheduling (JSS) aims to arrange the processing sequence of a series of operations to optimize the cost objective. The most common objective is to minimize the makespan without considering the flow time of materials between machines. However, in
Wei Xu, Yi Wan
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