Results 151 to 160 of about 40,942 (254)

Mapping Quantum Computing Techniques for NP‐Hard Problems in Operations Management and Operations Research

Engineering Reports, Volume 8, Issue 2, February 2026.
Quantum computing techniques such as Quantum Annealing and Quadratic Unconstrained Binary Optimization are effectively solving NP‐hard problems in operations management and research, particularly in logistics, manufacturing, and finance. This study maps these applications to present a framework for future adoption across industries. ABSTRACT This study
Daniel Bouzon Nagem Assad, Patricia Gomes Ferreira da Costa, Thaís Spiegel, Hélcio de Oliveira Rocha   +3 more
wiley   +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  

Development of a Novel Modified Mean‐Line Approach for Performance Prediction of Axial Compressors

Energy Science &Engineering, Volume 14, Issue 2, Page 843-853, February 2026.
ABSTRACT There is significant importance in accurate prediction of axial flow compressor characteristics at different conditions. Different techniques and models have been proposed for performance prediction of axial compressors. Because of its lower computational cost and high speed the meanline algorithm has been widely applied in preliminary design ...
Sina Hassanlue, Mohammad Alhuyi Nazari, Mohammadreza Pakatchian   +2 more
wiley   +1 more source

Optimized Asymmetrical Fuzzy‐2DOFTIDF Controller for LFC of Three‐Area Multi‐Sources Interconnected Power System Along With HAE‐FC and UPFC Using a New SOA Algorithm

Energy Science &Engineering, Volume 14, Issue 2, Page 866-886, February 2026.
This study proposes a novel Asymmetrical‐Fuzzy Two‐Degree‐of‐Freedom Tilt‐Integral‐Derivative (AF‐2DOF‐TIDF) controller for load frequency control in a multi‐area, multi‐source power system integrating Hydrogen‐Aqua‐Electrolyzer‐Fuel‐Cell (HAE‐FC) units and a Unified Power Flow Controller (UPFC).
Getaneh Mesfin Meseret, M. Bala Anand
wiley   +1 more source

A Practical Real‐Time Observer‐Based Radiation Prediction Algorithm for Solar Plants

Energy Science &Engineering, Volume 14, Issue 2, Page 887-904, February 2026.
A novel radiation prediction method is proposed. The model's existence is verified by applying real data to an offline identifier. An adaptive state/parameter estimator is developed to identify the model. The identification process occurs in real‐time, independent of specific situations. The method offers universal radiation prediction.
S. Sepehr Tabatabaei, S. Ayoub Mirtavousi, Mohammadreza Dehghan   +2 more
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

Modular and Automated Workflow for Streamlined Raman Signal Analysis

Journal of Raman Spectroscopy, Volume 57, Issue 2, Page 360-377, February 2026.
This study presents an automated workflow for preprocessing and analyzing Raman spectroscopy data, addressing key challenges such as noise suppression, baseline correction, and peak fitting using Voigt profiles. The method is validated on both synthetic and experimental spectra, demonstrating improved spectral fidelity and peak detection for biomedical
Mykyta Kizilov, Vsevolod Cheburkanov, Joseph Harrington, Vladislav V. Yakovlev   +3 more
wiley   +1 more source

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

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

Genetic and Iterative Metaheuristics‐Informed Algorithms for Precision Shallow Groundwater Modeling and Drought Inference

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Cokriging is a widely used geostatistical method for modeling the shallow groundwater table, often incorporating digital elevation models (DEMs) as secondary variables. However, existing approaches rarely include robust validation procedures to reduce local uncertainty or iteratively improve spatial predictions.
Massimiliano Schiavo, Daniele Pedretti
wiley   +1 more source

Predicting Porosity in Grain Compression Experiments Using Random Forest and Metaheuristic Optimization Algorithms. [PDF]

Food Sci Nutr
Chen J, Li J, Zheng D, Zhang Y, Jing H, Han J, Wang M, Zhao R.   +7 more
europepmc   +1 more source