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181
Process Targeting Of Multi-Characteristic Product Using Fuzzy Logic And Genetic Algorithm With An Interval Based Taguchi Cost Function
منشور في 2020"…A fuzzy relation between observed/input parameters and required/output characteristics is proposed. A genetic algorithm is developed to obtain optimal process targets. …"
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182
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183
High-Accurate Parameter Identification of PEMFC Using Advanced Multi-Trial Vector-Based Sine Cosine Meta-Heuristic Algorithm
منشور في 2025"…The trigonometric function-based sine cosine algorithm (SCA) may solve such problems, but it traps in local optima, making it inappropriate for larger optimization tasks. …"
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184
AI-Aided Robotic Wide-Range Water Quality Monitoring System
منشور في 2024احصل على النص الكامل
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185
Fuzzy genetic algorithm for floorplanning
منشور في 2020"…Genetic algorithms (GAs) have been found to be very effective in solving numerous optimization problems, especially those with many (possibly) conflicting and noisy objectives. …"
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186
A Modified Oppositional Chaotic Local Search Strategy Based Aquila Optimizer to Design an Effective Controller for Vehicle Cruise Control System
منشور في 2023"…We construct a novel and efficient metaheuristic algorithm by improving the performance of the Aquila Optimizer via chaotic local search and modified opposition-based learning strategies and use it as an excellently performing tuning mechanism. …"
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187
An efficient claim management assurance system using EPC contract based on improved monarch butterfly optimization models
منشور في 2024"…To address these challenges, a claim management system is developed based on the Improved Monarch Butterfly Optimization Algorithm (IMBOA) and the principles of EPC. …"
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188
Optimized FPGA Implementation of PWAM-Based Control of Three—Phase Nine—Level Quasi Impedance Source Inverter
منشور في 2019"…Since, PWAM control algorithm is more complex than PSCPWM, FPGA based implementation for PWAM control is discussed. …"
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189
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190
EEG-Based Multi-Modal Emotion Recognition using Bag of Deep Features: An Optimal Feature Selection Approach
منشور في 2019"…To reduce the feature dimensionality, spatial, and temporal based, bag of deep features (BoDF) model is proposed. …"
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191
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192
An Artificial Neural Network for Online Tuning of Genetic Algorithm Based PI Controller for Interior Permanent Magnet Synchronous Motor–Drive
منشور في 2006"…An artificial neural network (ANN) for online tuning of a genetic algorithm based PI controller for interior permanent magnet synchronous motor (IPMSM) drive is presented in this paper. …"
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193
Minimizing using BBO and DFO methods
منشور في 2022"…In [1], Nour and Zeidan proposed a numerical algorithm to solve optimal control problems involving sweeping processes. …"
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masterThesis -
194
Optimal design of power-system stabilizers using particle swarm optimization
منشور في 2002"…In this paper, a novel evolutionary algorithm-based approach to optimal design of multimachine power-system stabilizers (PSSs) is proposed. …"
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195
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196
The survey of cluster based data collection process for iot enabled wireless sensor network using several optimization technique
منشور في 2025"…The study analyses nature-based metaheuristic methods such as the Genetic Algorithms, Particle Swarm Optimization, Firefly Optimization, Gray Wolf Optimization and Water-Cycle Algorithms, and specialised protocols of clustering, routing and data aggregation. …"
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197
Stochastic evolution algorithm for technology mapping
منشور في 1998"…SELF-Map is based on the Stochastic Evolution (SE) algorithm. …"
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198
Evolutionary Algorithms for VLSIMultiobjective Netlist Partitioning
منشور في 2006"…In this paper, we engineer three iterative heuristics for the optimization of VLSI netlist bi-Partitioning. These heuristics are based on Genetic Algorithms (GAs), Tabu Search (TS) and Simulated Evolution (SimE). …"
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199
An evolutionary algorithm for network topology design
منشور في 2001"…We present an approach based on a simulated evolution algorithm for design of a campus network topology. …"
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200
An improved Dragonfly Algorithm for feature selection
منشور في 2020"…Dragonfly Algorithm (DA) is a recent swarm-based optimization method that imitates the hunting and migration mechanisms of idealized dragonflies. …"
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