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161
An Optimization Approach For The Computation Of The Minimum Destabilizing Uncertainty Volume
منشور في 2020"…In this paper we propose an non-linear optimization based algorithm for the computation of the stability region for uncertain polynomials. …"
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article -
162
PERF solutions for distributed query optimization. (c1999)
منشور في 1999احصل على النص الكامل
احصل على النص الكامل
masterThesis -
163
Optimal Routing Protocol in Multimedia Wireless Sensor Networks
منشور في 2011احصل على النص الكامل
doctoralThesis -
164
Particle swarm optimization for multimachine power systemstabilizer design
منشور في 2001"…In this paper, a novel evolutionary algorithm based approach to optimal design of multimachine power system stabilizers (PSSs) is proposed. …"
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احصل على النص الكامل
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165
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166
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167
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168
Stochastic optimal power flow framework with incorporation of wind turbines and solar PVs using improved liver cancer algorithm
منشور في 2024"…<p dir="ltr">The present study introduces a nature inspired improved liver cancer algorithm (ILCA) for solving the non‐convex engineering optimization issues. …"
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169
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170
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171
Economic load dispatch using memetic sine cosine algorithm
منشور في 2022الموضوعات: احصل على النص الكامل
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172
Valuation of commodity option prices under a regime-switching model with stochastic convenience yield: Model calibration using flower pollination optimization algorithm
منشور في 2025"…We calibrate the option pricing model parameters using the flower pollination optimization algorithm based on the European call option prices in WTI crude oil market. …"
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173
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174
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175
Scheduling IoT Requests to Minimize Latency in Fog Computing
منشور في 2017الموضوعات: احصل على النص الكامل
doctoralThesis -
176
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177
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178
Optimization of Commercially Off the Shelf (COTS) Electric Propulsion System for Low Speed Fuel Cell UAV
منشور في 2013الموضوعات: "…genetic algorithms…"
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doctoralThesis -
179
Image-Based Air Quality Estimation Using Convolutional Neural Network Optimized by Genetic Algorithms: A Multi-Dataset Approach
منشور في 2025"…The convolutional neural network is optimized using genetic algorithms, which dynamically tune hyper-parameters such as learning rate, batch size, and momentum to improve performance and generalizability across diverse environmental conditions. …"
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180