Results 131 to 140 of about 51,530 (240)
Engineering Reports, Volume 8, Issue 4, April 2026.A GA‐BP neural network model with optimized preprocessing and clustering reduces line loss calculation errors and improves efficiency in distribution networks. ABSTRACT Traditional methods for calculating distribution line losses often rely on complex mathematical models and extensive operational data, leading to cumbersome processes that struggle to ...
Tianjun Chen +4 more
wiley +1 more source
A Fuzzy Framework for Realized Volatility Prediction: Empirical Evidence From Equity Markets
Journal of Forecasting, Volume 45, Issue 3, Page 1261-1291, April 2026.ABSTRACT This study introduces a realized volatility fuzzy time series (RV‐FTS) model that applies a fuzzy c‐means clustering algorithm to estimate time‐varying c latent volatility states and their corresponding membership degrees. These memberships are used to construct a fuzzified volatility estimate as a weighted average of cluster centroids.
Shafqat Iqbal, Štefan Lyócsa
wiley +1 more source
Metaheuristic Clustering Algorithm
, 2010 In this thesis we describe an essential problem in data clustering and present some solutions for it. We investigate using distance measures other than Euclidean type for improving the performance of clustering. We also develop a new point symmetry-based distance measure and prove its efficiency.
openaire
End‐to‐End Portfolio Optimization with Hybrid Quantum Annealing
Advanced Quantum Technologies, Volume 9, Issue 4, April 2026.This works presents a hybrid quantum‐classical framework for portfolio optimization that combines quantum assisted asset selection and rebalancing with classical weight allocation. The approach processes real market data, embeds it into Quadratic Unconstrained Binary Optimization formulations, and evaluates performance within a unified workflow ...
Sai Nandan Morapakula +5 more
wiley +1 more source
JAWRA Journal of the American Water Resources Association, Volume 62, Issue 2, April 2026.ABSTRACT Understanding watershed water quality dynamics is essential for sustainable management, yet accurate nutrient load prediction remains challenging under strong inter‐annual variability. To address this limitation, this study presents a hybrid modelling framework that integrates baseflow information into a machine‐learning structure to improve ...
Bisrat Ayalew Yifru +4 more
wiley +1 more source
Review: Metaheuristic Optimization Algorithms
International Journal of Computer Applications, 2022 openaire +1 more source
Transactions in GIS, Volume 30, Issue 2, April 2026.ABSTRACT Classifying urban traffic crash severity remains challenging because severe incidents are underrepresented in highly imbalanced datasets. This challenge is further intensified by spatiotemporal shifts in data distributions, which can degrade model performance over time.
Reza Mohammadi, Mohammad Taleai
wiley +1 more source
On the Mean‐Field Limit of Consensus‐Based Methods
Mathematical Methods in the Applied Sciences, Volume 49, Issue 5, Page 4214-4240, 30 March 2026.ABSTRACT Consensus‐based optimization (CBO) employs a swarm of particles evolving as a system of stochastic differential equations (SDEs). Recently, it has been adapted to yield a derivative free sampling method referred to as consensus‐based sampling (CBS). In this paper, we investigate the “mean‐field limit” of a class of consensus methods, including
Marvin Koß, Simon Weissmann, Jakob Zech
wiley +1 more source
OOBO: A New Metaheuristic Algorithm for Solving Optimization Problems. [PDF]
Biomimetics (Basel), 2023 Dehghani M +3 more
europepmc +1 more source
JAREE (Journal on Advanced Research in Electrical Engineering), 2017 This research is focusing on the development of metaheuristic algorithm to solve Dynamic Vehicle Routing Problem With Time Windows (DVRPTW) for the service provider of Inter-city Courier. The algorithm is divided into two stages which is static stage and
Nurlita Gamayanti
doaj