Results 61 to 70 of about 40,942 (254)
Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions
Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
wiley +1 more source
Abstract Carbon dioxide‐reduced hydrogen can be synthesized through various methods such as dry‐reforming (DRM), steam reforming (SMR), and partial oxidation (POX). Tri‐reforming of methane (TRM) is a promising technology which combines all the above‐mentioned processes for the simultaneous production of hydrogen and syngas with high energy efficiency.
Paulo A. L. de Souza +3 more
wiley +1 more source
Review of Metaheuristics and Generalized Evolutionary Walk Algorithm [PDF]
Metaheuristic algorithms are often nature-inspired, and they are becoming very powerful in solving global optimization problems. More than a dozen of major metaheuristic algorithms have been developed over the last three decades, and there exist even ...
Yang, Xin-She
core
Free Lunch or No Free Lunch: That is not Just a Question?
The increasing popularity of metaheuristic algorithms has attracted a great deal of attention in algorithm analysis and performance evaluations. No-free-lunch theorems are of both theoretical and practical importance, while many important studies on ...
Yang, Xin-She
core +1 more source
An Optimisation-Driven Prediction Method for Automated Diagnosis and Prognosis [PDF]
open access articleThis article presents a novel hybrid classification paradigm for medical diagnoses and prognoses prediction. The core mechanism of the proposed method relies on a centroid classification algorithm whose logic is exploited to formulate ...
Caraffini, Fabio +2 more
core +1 more source
Where Tech Meets the SDGs: A Supply‐Chain Process Map for Sustainability Management
ABSTRACT This study investigates how advanced technologies support Sustainable Development Goals (SDGs) within supply chain management (SCM) through a structured analysis of 4448 sustainable practices. By integrating perspectives from sustainability‐oriented innovation (SOI) and contingent dynamic capabilities, the research conceptualizes technology ...
Vincenzo Varriale +2 more
wiley +1 more source
Review of Nature Inspired Metaheuristic Algorithm Selection for Combinatorial t-Way Testing
The metaheuristic algorithm is a very important area of research that continuously improves in solving optimization problems. Nature-inspired is one of the metaheuristic algorithm classifications that has grown in popularity among researchers over the ...
Aminu Aminu Muazu +2 more
doaj +1 more source
Ant colony optimization and its application to the vehicle routing problem with pickups and deliveries [PDF]
Ant Colony Optimization (ACO) is a population-based metaheuristic that can be used to find approximate solutions to difficult optimization problems. It was first introduced for solving the Traveling Salesperson Problem. Since then many implementations of
Catay, Bulent, Çatay, Bülent
core +1 more source
ABSTRACT Unequal load distribution in three‐phase power distribution networks leads to voltage unbalance and decreased network efficiency. Integration of photovoltaics (PVs) and electric vehicle charging stations (EVCSs) into such networks is a challenging task as their penetration affects the power quality of the system.
Maaz Ahmad +4 more
wiley +1 more source
Variable neighbourhood search for the minimum labelling Steiner tree problem [PDF]
We present a study on heuristic solution approaches to the minimum labelling Steiner tree problem, an NP-hard graph problem related to the minimum labelling spanning tree problem.
Consoli, S +3 more
core +1 more source

