Results 81 to 90 of about 1,727,456 (275)
PLoS ONE, 2021 Metaheuristic optimization algorithms are one of the most effective methods for solving complex engineering problems. However, the performance of a metaheuristic algorithm is related to its exploration ability and exploitation ability.
Jiahao Fan, Ying Li, Tan Wang
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The comparison of the exact and metaheuristic algorithms for the small-sized test problems.
, 2022 The comparison of the exact and metaheuristic algorithms for the small-sized test problems.
Seyed Jafar Sajadi (12213268) +1 more
core +1 more source
A Comprehensive Review of Fault‐Current Limiter Technologies for Smart and Resilient Power Systems
Energy Science &Engineering, EarlyView.This review compares superconducting, solid‐state, and hybrid fault‐current limiters (FCLs) for modern alternating current, direct current, and hybrid grids. It shows that optimal FCL selection depends on fault characteristics, network configuration, voltage level, protection coordination, and resilience requirements rather than on a universally ...
Abdelrahman Farghly +5 more
wiley +1 more source
Multi-Strategy Enhanced Crested Porcupine Optimizer: CAPCPO
MathematicsMetaheuristic algorithms are widely used in engineering problems due to their high efficiency and simplicity. However, engineering challenges often involve multiple control variables, which present significant obstacles for metaheuristic algorithms.
Haijun Liu +9 more
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Havacılık ve Uzay Teknolojileri Dergisi, 2021 Nowadays, the use of metaheuristic optimization algorithms is becoming widespread because of easy applying and be able to provide requirements in the solution of high level complex optimization problems.
Kunter Sercan SEZER, Nevra BAYHAN
doaj
Journal of Intelligent Medicine, EarlyView.Intelligent DRG Classification with ELGWO‐LightGBM. Abstract Diagnosis‐related group (DRG) classification is crucial for healthcare cost management and resource allocation, but traditional manual classification by physicians is inefficient and error‐prone, especially for large‐scale medical data.
Yanxi Zhang +3 more
wiley +1 more source
Gold Rush Optimizer. A New Population-Based Metaheuristic Algorithm [PDF]
Operations Research and Decisions, 2023 Today's world is characterised by competitive environments, optimal resource utilization, and cost reduction, which has resulted in an increasing role for metaheuristic algorithms in solving complex modern problems. As a result, this paper introduces the
Kamran Zolfi
doaj
International Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.ABSTRACT Swelling of clay‐sulfate rocks is a concern in geotechnical engineering that can damage infrastructure. In the historic town of Staufen in southwest Germany, geothermal drilling into a swellable anhydrite‐bearing clay formation resulted in water inflow and subsequent swelling, triggering ground heave and damage to more than 250 houses.
Reza Mahmoudi Kouhi +4 more
wiley +1 more source
IEEE AccessSustainable development has emerged as a global priority, and industries are increasingly striving to align their operations with sustainable practices.
Absalom El-Shamir Ezugwu
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Novel Metaheuristic: Spy Algorithm
IEICE Transactions on Information and Systems, 2022 Dhidhi Pambudi, Masaki Kawamura
openaire +5 more sources