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121
Metaheuristic Optimization‐Based Sliding Mode Control With Modified Perturb and Observe for Controlling MPPT of a PV Interfaced Grid Connected System
منشور في 2025"…Also, this article introduces the meta‐heuristic algorithm mountain gazelle optimization (MGO), which is incorporated to optimize the parameters of the sliding mode controller (SMC) to ensure the solar PV (SPV) MPP extraction. …"
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122
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123
An Uncertainty Based Genetic Algorithm Approach for Project Resource Scheduling
منشور في 2016"…The results showed the proposed methodology outperformed existing algorithms in optimizing project durations and resources allocation. …"
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124
Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm
منشور في 2022"…The slime mould algorithm (SMA) gives good results in finding the best solutions to optimization problems. …"
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125
A Scatter search algorithm for exam scheduling. (c2006)
منشور في 2006احصل على النص الكامل
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masterThesis -
126
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127
A combined ant colony optimization and simulated annealing algorithm to assess Stability and fault-proneness of classes based on internal software quality attributes
منشور في 2016"…A Combined Ant Colony Optimization and Simulated Annealing Algorithm to Assess Stability and Fault-Proneness of Classes Based on Internal Software Quality Attributes. …"
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article -
128
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129
Optimal Routing and Scheduling in E-commerce Logistics using Crowdsourcing Strategies
منشور في 2017احصل على النص الكامل
doctoralThesis -
130
Optimization of Battery Electric Bus Charging under Varying Operating Conditions
منشور في 2020"…This paper proposes an optimization algorithm based on Dynamic Programming that minimizes the total BEB energy costs and battery replacement costs by optimally controlling the BEB daily charging power throughout the year, considering the varying operating conditions. …"
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conferenceObject -
131
A new minimum curvator multi-step method for unconstrained optimization
منشور في 1998"…Our derivation of the new algorithm is based on determining some value of the parameter that minimizes the curvature in some chosen metric. …"
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conferenceObject -
132
A new family of multi-step quasi-Newton algorithms for unconstrained optimization
منشور في 1999"…It concentrates on deriving a variable-metric family of minimum curvature algorithms for unconstrained optimization. The derivation is based on considering a rational model, with a certain tuning parameter, where the aim is to develop a general framework that encompasses all possible two-step minimum curvature algorithms generated by appropriate parameter choices. …"
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article -
133
Distributed DRL-Based Downlink Power Allocation for Hybrid RF/VLC Networks
منشور في 2021"…Our simulation results show that the distributed DDPG-based algorithm learns to adapt against changes in the channel or user requirements, while centralized Genetic Algorithm and Particle Swarm Optimization-based algorithms fail to endure against these changes even with coordination between APs. …"
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134
A critical review and performance comparisons of swarm-based optimization algorithms in maximum power point tracking of photovoltaic systems under partial shading conditions
منشور في 2022"…The statistical analysis for 30 simulation runs shows that under heavier shading conditions, the grasshopper optimization algorithm (GOA) and salp swarm algorithm (SSA) outperform other swarm-based MPPT algorithms. …"
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135
Intelligent Rapidly-Exploring Random Tree Star Algorithm
منشور في 2024احصل على النص الكامل
doctoralThesis -
136
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137
Adapted arithmetic optimization algorithm for multi-level thresholding image segmentation: a case study of chest x-ray images
منشور في 2023"…This work investigates the capability of the Arithmetic Optimization Algorithm to discover the best multilayer thresholding for picture segmentation to circumvent this issue. …"
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138
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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139
Interval-Valued SVM Based ABO for Fault Detection and Diagnosis of Wind Energy Conversion Systems
منشور في 2022"…Next, as a feature selection tool, an improved extension of Artificial Butterfly Optimization (ABO) algorithm is used in order to extract the significant features from data and improve the diagnosis results of multiscale interval SVM. …"
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140