Search Results - (( flow encryption algorithm ) OR ( flow evolutionary algorithm ))

A power flow solvability identification and calculation algorithm using evolutionary programming (EP) / Kahardi Muhammad Talib by Muhammad Talib, Kahardi

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Implementation Of FPGA Based Encryption Chip Using VHD - Data Encryption Standard (DES) Algorithm by Lim, Mui Liang

“…There are many researchers used Data Encryption Standard (DES) Algorithm to implement in FPGAs. …”
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Comparative study of optimal power flow using evolutionary programming and immune evolutionary programming technique in power system / Mohd Khairil Izwan Md Daim by Md Daim, Mohd Khairil Izwan

“…This project presents a new technique for solving the optimal power flow problem, in a power system using an Evolutionary Programming and Immune Evolution Programming optimization technique. …”
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Solving load flow solution using evolutionary programming method / Nurul-Huda Ismail by Ismail, Nurul-Huda

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Database encryption for a Web-based Claims System by Syed Zulkarnain Syed Idrus

“…On the other hand, the analysis of encryption algorithms with Web browsers, the results have shown that Twofish algorithm is best suited to the system that has been developed using ASP Web programming language on Internet Explorer. …”
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Evolutionary mating algorithm by Mohd Herwan, Sulaiman, Zuriani, Mustaffa, Mohd Mawardi, Saari, Hamdan, Daniyal, Mirjalili, Seyedali

“…This paper proposes a new evolutionary algorithm namely Evolutionary Mating Algorithm (EMA) to solve constrained optimization problems. …”
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A comparative study of multi-objective optimal power flow based on particle swarm, evolutionary programming, and genetic algorithm by Kahourzade, S., Mahmoudi, A., Mokhlis, Hazlie

“…This paper compares the performance of three population-based algorithms including particle swarm optimization (PSO), evolutionary programming (EP), and genetic algorithm (GA) to solve the multi-objective optimal power flow (OPF) problem. …”
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A Machine Learning Classification Approach To Detect Tls-Based Malware Using Entropy-Based Flow Set Features by Keshkeh, Kinan

“…Furthermore, the outliers and frequency-based flow feature transformations (FTT) applied to mitigate the poor flow feature have several flaws. …”
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Campus safe: Safeguarding GPS-based Physical Identity and Access Management (PIAM) system with a lightweight Geo-Encryption by Yeo Zi Zian

“…Subsequently, this project embedded with a lightweight Geo-Encryption algorithm to preserve the privacy of real-time GPS location. …”
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Optimized energy extraction in tidal current technology using evolutionary algorithm by Min, Keng Tan, Chun, Chong Loo, Kit, Guan Lim, Pungut Ibrahim, Hui, Hwang Goh, Tze, Kenneth Kin Teo

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Hybrid flow shop scheduling problem with energy utilization using non-dominated sorting genetic algorithm-III (NSGA-III) optimization by Muhammad Ammar, Nik Mu’tasim, Mohd Fadzil Faisae, Ab Rashid

“…The model was compared with the most sought algorithm and latest multi-objective algorithms, Strength Pareto Evolutionary Algorithm 2 (SPEA -II), Multi-Objective Algorithm Particle Swarm Optimization (MOPSO), Pareto Envelope-based Selection Algorithm II (PESA-II) and Multi-objective Evolutionary Algorithm based on Decomposition (MOEA/D). …”
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Economic power dispatch solutions incorporating stochastic wind power generators by moth flow optimizer by Alam, Mohammad Khurshed, Mohd Herwan, Sulaiman, Sayem, Md. Shaoran, Khan, Rahat

“…This study's primary purpose is to apply state-of-the-art variations of the differential evolution (DE) algorithm for single-objective optimization and selected evolutionary algorithms for multi-objective optimization issues in power systems. …”
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Evolutionary automated radial basis function neural network for multiphase flowing bottom-hole pressure prediction by Campos, Deivid, Wayo, Dennis Delali Kwesi, De Santis, Rodrigo Barbosa, Martyushev, Dmitriy A., Yaseen, Zaher Mundher, Duru, Ugochukwu Ilozurike, Saporetti, Camila M., Goliatt, Leonardo

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Voltage constrained optimal power flow based using genetic algorithm by Yassir Asnawi, Teuku Hasannuddin

“…In this study, Genetic Algorithm (GA) was applied to solve the problem of OPF. …”
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Application of the Genetic Algorithms (GAs) in determining the optimal transformer tap setting for loss minimization using MATLAB / Mohd Syful Adly Abd. Wahab by Abd. Wahab, Mohd Syful Adly

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A decomposition/aggregation method for solving electrical power dispatch problems by Mansor M.H., Irving M.R., Taylor G.A.

Subjects:

A trade-off criterion for bi-objective problem in solving hybrid flow shop scheduling with energy efficient (EE-HFS) using multi-objective dragonfly algorithm (MODA) by Muhammad Ammar, Nik Mu’tasim, Mohd Fadzil Faisae, Ab Rashid

“…The (EE-HFS) optimization has been carried out using the Multi-Objective Dragonfly Algorithm (MODA). The optimization result was compared with well-established algorithms, the Pareto Envelope-based Selection Algorithm II (PESA2), Multi-Objective Evolutionary Algorithm Based on Decomposition (MOEA/D), and new algorithms, Multi-Objective Grasshopper Optimization Algorithm (MOGOA) and Multi-Objective Ant Lion Optimizer (MOALO). …”
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Solving economic load dispatch using immune evolutionary programming (IEP) optimization technique by Raja Muhammad Safarin Raja Kechek

Application of computational intelligence methods in modelling river flow prediction: A review by Zaini N., Malek M.A., Yusoff M.

“…Artificial intelligence; Arts computing; Decision making; Evolutionary algorithms; Forecasting; Fuzzy neural networks; Intelligent computing; Neural networks; Rain; Rivers; Stream flow; Support vector machines; Computational intelligence methods; Computational intelligence techniques; Computational results; Hydrological cycles; Neural networks , fuzzy logic; Prediction accuracy; River flow models; River flow prediction; Fuzzy logic…”

A high-performance democratic political algorithm for solving multi-objective optimal power flow problem by Ahmadipour M., Ali Z., Othman M.M., Bo R., Javadi M.S., Ridha H.M., Alrifaey M.

“…Simulation results are analyzed and compared with two popular and commonly used multi-objective-evolutionary algorithms namely, non-dominated sorting genetic algorithm II (NSGA-II) and the multi-objective particle swarm optimization (MOPSO) on the problem. …”