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iterative optimization » migration optimization (Expand Search), storage optimization (Expand Search)
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201
A utility minimization approach for energy-aware cooperative content distribution with fairness constraints
Published 2012“…Thus, to ensure fairness in energy consumption, a low complexity utility minimization algorithm is proposed. Using the appropriate utilities, the algorithm can be used to implement the optimal greedy energy minimization solution or to ensure different degrees of fairness in energy consumption. …”
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202
Random vector functional link network: Recent developments, applications, and future directions
Published 2023“…Generally, the back propagation (BP) based iterative approaches are used to train the neural networks, however, it results in the issues of local minima, sensitivity to learning rate and slow convergence. …”
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203
Shuffled Linear Regression with Erroneous Observations
Published 2019“…The proposed algorithm aims for per-iteration minimization of the mean square estimate error. …”
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204
Analysis of power system stability enhancement via excitation and FACTS-based stabilizers
Published 2004“…Then, a real-coded genetic algorithm is employed to search for optimal controller parameters. …”
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205
Peak Loads Shaving in a Team of Cooperating Smart Buildings Powered Solar PV-Based Microgrids
Published 2021“…Each microgrid includes a roof-top solar PV, energy storage system, EVs, loads, and advanced metering and communication infrastructure. The main objective is to formulate a constrained optimization problem embedded in a model predictive control (MPC) scheme to optimally control the operation of each microgrid to reduce/shave the peak load in case of occurrence, optimizing the power flows exchanges and energy storages, while ensuring a high quality of service to the EVs owners in each microgrid. …”
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206
A METHODOLOGY FOR NETWORK TOPOLOGY DESIGN USING FUZZY EVALUATIONS
Published 2020“…The topology design of campus networks (CNs), a class of computer networks, is a NP-hard optimization problem. The design consists of three main steps and requires the optimization of several conflicting objectives such as minimization of cost, minimization of network delay, and minimization of maximum number of hops etc. …”
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207
Coordinated design of robust excitation and TCSC-based damping controllers
Published 2003“…The real-coded genetic algorithm (RCGA) is employed to search for optimal controller parameters. …”
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208
Power system stability enhancement via coordinated design of a PSS and an SVC-based controller
Published 2003“…The real-coded genetic algorithm (RCGA) is employed to search for optimal controller parameters. …”
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209
The Generalization of Bidirectional Dual Active Bridge DC/DC Converter Modulation Schemes: State-of-the-Art Analysis under Triple Phase Shift Control
Published 2023“…Additionally, a generic optimization algorithm is developed to show the advantages of TPS modulation, and thus, the analysis in this paper offers a valuable insight for single-phase DAB converter designers in identifying a wide range of optimization algorithms to achieve higher efficiency under TPS modulation. …”
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210
Timing driven genetic placement
Published 2020“…At early generations, the search is biased toward solutions with superior timing characteristics. As the algorithm starts converging towards generations with acceptable delay properties, the objective is dynamically adjusted toward optimizing area and routability. …”
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211
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212
Towards a self-powering greenhouse using semi-transparent PV: Utilizing hybrid BESS-hydrogen energy storage system
Published 2024“…Second, by employing a comprehensive approach with the GBO algorithm, the research examines various scenarios as a multi-objective optimization problem, balancing economic considerations such as net present value (NPV) and energy dependency (ED). …”
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213
Towards a self-powering greenhouse using semi-transparent PV: Utilizing hybrid BESS-hydrogen energy storage system
Published 2025“…Second, by employing a comprehensive approach with the GBO algorithm, the research examines various scenarios as a multi-objective optimization problem, balancing economic considerations such as net present value (NPV) and energy dependency (ED). …”
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214
Traffic Offloading with Channel Allocation in Cache-Enabled Ultra-Dense Wireless Networks
Published 2018“…We also propose efficient sub-optimal hierarchical tree-based algorithms that operate in real time with dynamic and fast solutions for ultra dense networks. …”
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215
On the parameterized parallel complexity and the vertex cover problem
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216
A MIMO Sampling-Rate-Dependent Controller
Published 2014“…Performance is compared to a PID controller with fuzzy gain scheduling, four multivariable PID controllers, an H ∞ optimal controller, and an iterative-learning-control algorithm.…”
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217
Protein structure prediction in the 3D HP model
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218
Evacuation of a highly congested urban city
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219
Vibration suppression in a cantilever beam using a string-type vibration absorber
Published 2017“…In the first, the spring stiffness, the position of the second attachment point of the string and a preliminary damping constant are calculated using a genetic algorithm approach where the objective function is the maximum displacement on the beam. …”
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220
One-Machine Scheduling To Minimize Mean Tardiness With Minimum Number Tardy
Published 2020“…It is proved that the schedule generated by the proposed algorithm is indeed optimal.…”
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