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Effective uncertain fault diagnosis technique for wind conversion systems using improved ensemble learning algorithm
Published 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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Teaching–learning-based optimization algorithm: analysis study and its application
Published 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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Salp swarm algorithm: survey, analysis, and new applications
Published 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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Holistic Design: Optimizing Mechatronic Systems Using Multi Objective Optimization
Published 2015Get full text
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Extended Behavioral Modeling of FET and Lattice-Mismatched HEMT Devices
Published 2016Subjects: Get full text
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Whale optimization algorithm: analysis and full survey
Published 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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Improved Jaya Synergistic Swarm Optimization Algorithm to Optimize Task Scheduling Problems in Cloud Computing
Published 2024“…In this paper, we propose an enhanced optimization algorithm tailored for task scheduling in cloud environments. …”
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Effective dispatch strategies assortment according to the effect of the operation for an islanded hybrid microgrid
Published 2022“…The proposed off-grid microgrid's CO<sub>2 </sub>emissions, total net present cost (NPC), and the Levelized cost of energy (LCOE) have all been optimized. In HOMER software, all the possible dispatch algorithms were analyzed, and the power system responses and reliability study were carried out using DIgSILENT PowerFactory. …”
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Metaheuristic Optimization Algorithms for Training Artificial Neural Networks
Published 2012“…A few metaheuristic optimization techniques have been applied to increase the effectiveness of the training process. …”
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A Survey of cuckoo search algorithm: optimizer and new applications
Published 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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A parallel ant colony optimization to globally optimize area in high-level synthesis. (c2011)
Published 2011Get full text
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A multiobjective optimization method for the SOC Test Time, TAM, and power optimization using a strength pareto evolutionary algorithm
Published 2017“…This paper presents a multiobjective optimization approach for the SOC test scheduling problem. …”
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Multiobjective Optimal VAR Dispatch Using Strength Pareto Evolutionary Algorithm
Published 2020“…In this paper, strength Pareto evolutionary algorithm (SPEA) for optimal reactive power (VAR) dispatch problem is presented. …”
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Optimal Allocation of Distributed Generation in Distribution Systems
Published 2019Get full text
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On the Optimization of Band Gaps in Periodic Waveguides
Published 2025“…Five nature-inspired optimization algorithms: Genetic Algorithm (GA), Differential Evolution (DE), Grey Wolf Optimizer (GWO), Improved Grey Wolf Optimizer (IGWO), and Particle Swarm Optimization (PSO) are compared. …”
