Results 131 to 140 of about 4,898 (223)

Exploring the 3D Gravity Inversion Problem Using a Compact Hybrid Transformer‐Based Deep Learning Model

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract The three‐dimensional (3D) gravity inversion problem is the process of delineating the volumetric mass distributions from the surface gravity anomalies. Recently, many innovative Convolutional Neural Network (CNN) based algorithms have found some success in reduction of computation costs and delineation of sharper boundaries of causative ...
Abhirup Chaudhuri, Akanksha Tirkey, Ankit Singh   +2 more
wiley   +1 more source

New Heuristics for Stable LDA Parameter Search

Computational Intelligence, Volume 42, Issue 3, June 2026.
ABSTRACT The Latent Dirichlet Allocation (LDA) algorithm automatically extracts latent topics from a textual corpus, but configuring its parameters can be difficult and time‐consuming. Optimization algorithms can help determine the best parameters, but not necessarily the optimal ones.
Simon‐Olivier Harel, Erick Velazquez‐Godinez, Sylvie Ratté   +2 more
wiley   +1 more source

A Novel Binary Dream Optimization Algorithm with Data-Driven Repair for the Set Covering Problem. [PDF]

Biomimetics (Basel)
Crawford B, Caballero H, Astorga G, Cisternas-Caneo F, Becerra-Rozas M, Baeza A, Bernales G, Puga P, Giachetti G, Soto R.   +9 more
europepmc   +1 more source

Hybrid Metaheuristics

Computers & Operations Research, 2010
openaire   +2 more sources

Conservation planning in the Weddell Sea (Antarctica): A comparative analysis of decision‐support tools

Conservation Science and Practice, Volume 8, Issue 6, June 2026.
We compare simulated annealing (SA, Marxan) and integer linear programming (ILP, prioritizr) to evaluate their performance in developing spatial conservation priorities for the proposed Weddell Sea Marine Protected Area Phase 1. While both approaches identify largely overlapping priority areas, ILP consistently produces more compact and cost‐efficient ...
Katharina Teschke, Rebecca Konijnenberg, Flavia Carolina Bellotto Trigo   +2 more
wiley   +1 more source

A Bio-Inspired Comprehensive Learning Strategy-Enhanced Parrot Optimizer: Performance Evaluation and Application to Reservoir Production Optimization. [PDF]

Biomimetics (Basel)
Yu B, Zhang Y.
europepmc   +1 more source

Optimizing LID Practices in the Genoa Urban Drainage System Based on the Community's Call for Action Through Participatory Mapping

Journal of Flood Risk Management, Volume 19, Issue 2, June 2026.
ABSTRACT This paper presents a novel methodology for optimizing installation of low impact development practices (LIDs) in an urban hydrological catchment. This methodology helps stakeholders in deciding on what kind and area of LID must be installed in each sub‐catchment to attenuate pluvial flooding as a result of intense rain events.
Enrico Creaco, Ilaria Gnecco, Carlo Giudicianni, Stefano Boilini, Shaahin Nazarpour Tameh, Anna Palla   +5 more
wiley   +1 more source

Editorial: Socio-cultural inspired Metaheuristics

Soft Computing Letters, 2021
Dr Anand J Kulkarni, Dr Ali Husseinzadeh Kashan   +1 more
doaj   +1 more source

EKEO: An Enhanced Kangaroo Escape Optimizer with Balanced Search for Global Optimization and Engineering Design. [PDF]

Biomimetics (Basel)
Zhu X, Guo W, Shen Y, Guo J, Li S, Chang Z.   +5 more
europepmc   +1 more source

Enhancing Artificial Neural Network Performance for Wildfire Susceptibility Mapping Using Bernstein‐Levy and Multi‐Population Differential Evolution Algorithms

Transactions in GIS, Volume 30, Issue 4, June 2026.
ABSTRACT Wildfire susceptibility mapping (WSM) is critical for forest management, land‐use planning, and disaster risk mitigation. Although hybrid artificial neural network (ANN) models optimized by metaheuristic algorithms are increasingly used in susceptibility mapping, they are often evaluated without strong machine learning benchmarks, spatially ...
Talha Taşkanat
wiley   +1 more source