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Teaching–learning-based optimization algorithm: analysis study and its application
Published 2024Subjects: Get full text
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Gradient-Based Optimizer (GBO): A Review, Theory, Variants, and Applications
Published 2023Subjects: Get full text
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Application of Red Deer Algorithm in Optimizing Complex functions
Published 2021Subjects: “…RD algorithm…”
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The buffered work-pool approach for search-tree based optimization algorithms
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The Hybrid Framework for Multi-objective Evolutionary Optimization Based On Harmony Search Algorithm
Published 2017“…Many techniques have been proposed in the literature to solve multi-objective optimization problems including NSGA-II, MOEA/D and MOPSO algorithms. …”
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Archive-based coronavirus herd immunity algorithm for optimizing weights in neural networks
Published 2023“…The external archive is implemented during the algorithm evolution, and it saves the best solutions to be used later. …”
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Optimization of PV Cleaning Practices: Comparison Between Performance-Based and Periodic-Based Approaches
Published 2020“…The algorithm’s input included electricity production, soiling rates (SRs), electricity price, and cleaning costs. …”
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Natural optimization algorithms for optimal regression testing
Published 1997“…The present two natural optimization algorithms, namely simulated annealing and genetic algorithms, for solving this problem. …”
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Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems
Published 2023“…The proposed method is based on enhancing the search process of the Prairie Dog Optimization Algorithm (PDOA) by using the primary updating mechanism of the Dwarf Mongoose Optimization Algorithm (DMOA). …”
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A Novel Genetic Algorithm Optimized Adversarial Attack in Federated Learning for Android-Based Mobile Systems
Published 2025“…Given that Android applications are frequent targets for malware, ensuring the integrity of FL-based malware detection systems is critical. We introduce an attack framework that integrates Genetic Algorithms (GA) with two prominent adversarial techniques, namely, the Fast Gradient Sign Method (FGSM) and Projected Gradient Descent (PGD), specifically designed for FL environments. …”
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Trial-based dominance for comparing both the speed and accuracy of stochastic optimizers with standard non-parametric tests
Published 2023“…This paper describes how trial-based dominance can totally order this two-variable dataset of outcomes so that traditional non-parametric methods can determine the better of two algorithms when one is faster, but less accurate than the other, i.e. when neither algorithm dominates. …”
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Animal migration optimization algorithm: novel optimizer, analysis, and applications
Published 2024“…A new heuristic optimization algorithm was proposed in 2013 called the animal migration optimization (AMO) algorithm. …”
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Optimizing MPPT Control for Enhanced Efficiency in Sustainable Photovoltaic Microgrids: A DSO-Based Approach
Published 2024“…Furthermore, an exhaustive comparative analysis has been presented among particle swarm optimization (PSO), cuckoo search algorithm (CUSA), and grey wolf optimization (GWO) under different operating environments to endorse the supremacy of the nominated technique. …”
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