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Salp swarm algorithm: survey, analysis, and new applications
منشور في 2024"…This chapter offers the sea salmon-associated polyp (SALP) swarm algorithm (SSA) and multipurpose SSA (MSSA) as new optimization algorithms for solving optimization problems with single and multiple objectives. …"
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2
Teaching–learning-based optimization algorithm: analysis study and its application
منشور في 2024"…The teaching–learning-based optimization (TLBO) algorithm is a novel nature-based optimization approach that has attracted a lot of interest from researchers because of its great capacity to handle optimization problems. …"
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3
Effective uncertain fault diagnosis technique for wind conversion systems using improved ensemble learning algorithm
منشور في 2023"…<p>This paper introduces a pioneering fault diagnosis technique termed Interval Ensemble Learning based on Sine Cosine Optimization Algorithm (IEL- SCOA), tailored to tackle uncertainties prevalent in wind energy conversion (WEC) systems. …"
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Whale optimization algorithm: analysis and full survey
منشور في 2024"…The survey further discusses the algorithm's performance on a wide range of optimization problems, showcasing its competitiveness and effectiveness. …"
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5
Holistic Design: Optimizing Mechatronic Systems Using Multi Objective Optimization
منشور في 2015احصل على النص الكامل
doctoralThesis -
6
Metaheuristic Optimization Algorithms for Training Artificial Neural Networks
منشور في 2012"…The Cuckoo Search (CS) algorithm is a recently developed meta-heuristic optimization algorithm which is suitable for solving optimization problems. …"
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Improved Jaya Synergistic Swarm Optimization Algorithm to Optimize Task Scheduling Problems in Cloud Computing
منشور في 2024"…In this paper, we propose an enhanced optimization algorithm tailored for task scheduling in cloud environments. …"
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A Survey of cuckoo search algorithm: optimizer and new applications
منشور في 2024"…Due to its simplicity and effectiveness, CS provides several advantages in tackling highly nonlinear optimization problems in engineering work applications. …"
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10
Extended Behavioral Modeling of FET and Lattice-Mismatched HEMT Devices
منشور في 2016الموضوعات: احصل على النص الكامل
doctoralThesis -
11
Multiobjective Optimal VAR Dispatch Using Strength Pareto Evolutionary Algorithm
منشور في 2020"…In this paper, strength Pareto evolutionary algorithm (SPEA) for optimal reactive power (VAR) dispatch problem is presented. …"
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Optimal multiobjective design of robust power system stabilizers using genetic algorithms
منشور في 2003"…Optimal multiobjective design of robust multimachine power system stabilizers (PSSs) using genetic algorithms is presented in this paper. …"
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A multiobjective optimization method for the SOC Test Time, TAM, and power optimization using a strength pareto evolutionary algorithm
منشور في 2017"…We present various experimental results that demonstrate the effectiveness of our method.…"
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conferenceObject -
16
A Non-convex Economic Load Dispatch Using Hybrid Salp Swarm Algorithm
منشور في 2021"…In this paper, the economic load dispatch (ELD) problem with valve point effect is tackled using a hybridization between salp swarm algorithm (SSA) as a population-based algorithm and β-hill climbing optimizer as a single point-based algorithm. …"
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17
Delay Optimization in LoRaWAN by Employing Adaptive Scheduling Algorithm With Unsupervised Learning
منشور في 2023"…Further, the delay is optimized by 91% and 79%. This research could be effective for the environments where the critical data of patients need to be sent with optimised retransmissions and minimum delay towards gateways.…"
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18
Optimal Allocation of Distributed Generation in Distribution Systems
منشور في 2019احصل على النص الكامل
doctoralThesis -
19
GIJA:Enhanced geyser‐inspired Jaya algorithm for task scheduling optimization in cloud computing
منشور في 2024"…By combining this Geyser‐inspired approach with the simplicity and effectiveness of the Jaya algorithm, GIJA offers a robust optimization framework capable of adapting to diverse cloud computing environments. …"
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20
The application of control algorithm for optimal performance of evaporatively-cooled façade system in hot dry and humid weathers
منشور في 2021"…It was found that the application of the system can halve the highly glazed façade heat gain during the summer, in all orientations, and may have adverse, yet desirable effect during the winter. The integration of the control algorithm managed to reduce differences in system performance between dry and humid locations, thus generating total annual savings of up to 21.8% in any typical city of the Arabian Gulf.…"
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article