Results 141 to 150 of about 41,487 (244)

Metaheuristic Optimization: Algorithmic Design and Applications [PDF]

Journal of Optimization, 2017
Gexiang Zhang, Linqiang Pan, Ferrante Neri, Maoguo Gong, Alberto Leporati   +4 more
openaire   +1 more source

Adaptive Calculation Method of Line Loss of Distribution Network Based on Genetic Algorithm and Artificial Neural Network

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, Tao Deng, Junyang Wu, Ming Wen, Chengming Liu   +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

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, Sangram Deshpande, Rakesh Yata, Rushikesh Ubale, Uday Wad, Kazuki Ikeda   +5 more
wiley   +1 more source

Groundwater Contributions to Daily Nitrogen and Phosphorus Loads and Implications for Prediction in Watersheds in South Korea

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, Seoro Lee, Jeongho Han, Woonji Park, Kyoung Jae Lim   +4 more
wiley   +1 more source

A GIS‐Integrated Active Learning Framework for Crash Severity Classification in Imbalanced Traffic Data

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

Adaptive energy management in smart homes through fuzzy reinforcement learning and metaheuristic optimization algorithms to minimize costs. [PDF]

Sci Rep
Hamedani MMK, Jahangiri A, Mehri R, Shamim AG.   +3 more
europepmc   +1 more source

Assigning Metaheuristics to a Logistics Problem: A Novel Classification System for Algorithms and Problems

Chemical Engineering Transactions
Metaheuristic algorithms applied to NP-hard problems are proven effective techniques in the field of optimization to ensure a good result within an acceptable calculation time. However, finding a suitable technique for optimizing a complex problem is not
Tamara J. Bíró, Adrián Horváth
doaj  

Data-Driven Polymer Classification Using BiGRU and Hybrid Metaheuristic Optimization Algorithms. [PDF]

Polymers (Basel)
Parvez MA, Mehedi IM.
europepmc   +1 more source