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storage optimization » swarm optimization (Expand Search), global optimization (Expand Search), whale optimization (Expand Search)
storage optimization » swarm optimization (Expand Search), global optimization (Expand Search), whale optimization (Expand Search)
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141
Energy removal in dynamical systems through an optimal sequence of constraint application
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conferenceObject -
142
A decentralized load balancing approach for parallel search-tree optimization
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conferenceObject -
143
A modified optimal design of a vibration absorber for ground motion isolation
Published 2014“…For a given stiffness ratio of the system, the optimal mass and damping ratios are obtained analytically using an optimization method based on invariant points of the objective function. …”
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conferenceObject -
144
Assigning proctors to exams using scatter search. (c2006)
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masterThesis -
145
Integrated economic and environmental models for a multi stage cold supply chain under carbon tax regulation
Published 2017“…The structural properties for the optimal solution of the three models are identified and solution algorithms are also proposed. …”
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146
Defense against adversarial attacks: robust and efficient compressed optimized neural networks
Published 2024“…First, introducing a pioneering batch-cumulative approach, the exponential particle swarm optimization (ExPSO) algorithm was developed for meticulous parameter fine-tuning within each batch. …”
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147
A method for optimizing test bus assignment and sizing for system-on-a-chip
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conferenceObject -
148
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149
Efficiency Optimization of a Standalone Solar Energy System using Fuzzy Based MPPT
Published 2012Get full text
doctoralThesis -
150
A simulated annealing-based optimal controller for a three phase induction motor
Published 2002“…The proposed algorithm comprises structure of the optimal controller, a new error system and vector control of a three phase IM. …”
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151
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152
Using artificial bee colony to optimize software quality estimation models. (c2015)
Published 2016“…We validate our technique on data describing maintainability and reliability of classes in an Object-Oriented system. We compare our models to others constructed using other well established techniques such as C4.5, Genetic Algorithms, Simulated Annealing, Tabu Search, multi-layer perceptron with back-propagation, multi-layer perceptron hybridized with ABC and the majority classifier. …”
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masterThesis -
153
Reliability and fault tolerance based topological optimization of computer networks - part II: iterative techniques
Published 2003“…We consider the use of three iterative techniques, namely tabu search, simulated annealing, and genetic algorithms, in solving the multiobjective topological optimization network design problem. …”
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154
Enhanced climate change resilience on wheat anther morphology using optimized deep learning techniques
Published 2024“…Given the ongoing challenges in agriculture, there is a belief that incorporating the latest technologies is crucial. The primary objective of this study is to explore how Deep Learning algorithms can be beneficial in categorizing agricultural records, particularly in monitoring and identifying variations in spring wheat germplasm. …”
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155
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156
An Effective Fault Diagnosis Technique for Wind Energy Conversion Systems Based on an Improved Particle Swarm Optimization
Published 2022“…First, an efficient feature selection algorithm based on particle swarm optimization (PSO) is proposed. …”
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157
Small-Signal Stability Analysis and Parameters Optimization of Virtual Synchronous Generator for Low-Inertia Power System
Published 2025“…We further propose a hybrid Particle Swarm Optimization (PSO) algorithm with a multi-objective cost function to optimize VSG controller gains. …”
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158
ANT-colony optimization-direct torque control for a doubly fed induction motor : An experimental validation
Published 2022“…The best solutions adopted in this situation are often based on optimization algorithms that generate the controller’s gains in each period where there is an internal or external perturbation, adapting the behaviors of the PID against the system’s nonlinearity. …”
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159
An efficient claim management assurance system using EPC contract based on improved monarch butterfly optimization models
Published 2024“…The Monarch Butterfly Optimization Algorithm (MBOA) and its improved version (IMBOA) are explored for their application in optimizing project performance. …”
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160
A hybrid of clustering and meta-heuristic algorithms to solve a p-mobile hub location–allocation problem with the depreciation cost of hub facilities
Published 2021“…To solve the proposed model, four meta-heuristic algorithms, namely multi-objective particle swarm optimization (MOPSO), a non-dominated sorting genetic algorithm (NSGA-II), a hybrid of k-medoids as a famous clustering algorithm and NSGA-II (KNSGA-II), and a hybrid of K-medoids and MOPSO (KMOPSO) are implemented. …”