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Evolution Performance of Symbolic Radial Basis Function Neural Network by Using Evolutionary Algorithms
Published 2023“…The SRBFNN’s objective function that corresponds to Satisfiability logic programming can be minimized by different algorithms, including Genetic Algorithm (GA), Evolution Strategy Algorithm (ES), Differential Evolution Algorithm (DE), and Evolutionary Programming Algorithm (EP). …”
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Evolution Performance of Symbolic Radial Basis Function Neural Network by Using Evolutionary Algorithms
Published 2023“…The SRBFNN’s objective function that corresponds to Satisfiability logic programming can be minimized by different algorithms, including Genetic Algorithm (GA), Evolution Strategy Algorithm (ES), Differential Evolution Algorithm (DE), and Evolutionary Programming Algorithm (EP). …”
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Evolution Performance of Symbolic Radial Basis Function Neural Network by Using Evolutionary Algorithms
Published 2023“…The SRBFNN’s objective function that corresponds to Satisfiability logic programming can be minimized by different algorithms, including Genetic Algorithm (GA), Evolution Strategy Algorithm (ES), Differential Evolution Algorithm (DE), and Evolutionary Programming Algorithm (EP). …”
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Evolution Performance of Symbolic Radial Basis Function Neural Network by Using Evolutionary Algorithms
Published 2023“…The SRBFNN’s objective function that corresponds to Satisfiability logic programming can be minimized by different algorithms, including Genetic Algorithm (GA), Evolution Strategy Algorithm (ES), Differential Evolution Algorithm (DE), and Evolutionary Programming Algorithm (EP). …”
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5
Evolution Performance of Symbolic Radial Basis Function Neural Network by Using Evolutionary Algorithms
Published 2023“…The SRBFNN’s objective function that corresponds to Satisfiability logic programming can be minimized by different algorithms, including Genetic Algorithm (GA), Evolution Strategy Algorithm (ES), Differential Evolution Algorithm (DE), and Evolutionary Programming Algorithm (EP). …”
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6
Evolution Performance of Symbolic Radial Basis Function Neural Network by Using Evolutionary Algorithms
Published 2023“…The SRBFNN’s objective function that corresponds to Satisfiability logic programming can be minimized by different algorithms, including Genetic Algorithm (GA), Evolution Strategy Algorithm (ES), Differential Evolution Algorithm (DE), and Evolutionary Programming Algorithm (EP). …”
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Integrated immune-commensal-evolutionary programming for economic dispatch and distributed generation installation / Mohd Helmi Mansor
Published 2020“…Subsequently, an integrated technique termed as integrated ICEP based ED and DG installation (ICEP-ED-DG) has been formulated to minimize the total production cost and total system loss independently. …”
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Space allocation for examination scheduling using Genetic Algorithm / Alya Kauthar Azman
Published 2025“…Implementing real-time data updates through cloud-based platforms could further improve system scalability. …”
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Optimization of Digital Electronic Circuit Structure Design Using Genetic Algorithm
Published 2008“…ODCSD is a digital circuit structure design simulation program. Further more, a prototype hardware has been designed and constructed to test the success chromosome string, which called as GA based Logic Implementer (GALI). …”
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Computer control of batch process plant (software development)
Published 1995“…The optimums PID parameters obtain arc being expected to be implement on the computer control of batch process plant software based on the real-time Proportional, Integral and Derivative (PID) algorithms. …”
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Vision Based Multi Sensor Feedback System For Robot System With Intelligent
Published 2009“…This research studies the machine vision system and how it may be integrated to assist a robot system with artificial intelligent (Al). …”
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PID controller for unmanned aerial vehicle in closed environment using fiducial marker systems
Published 2024“…The navigation algorithm has been programmed in Python and the Robot Operating System (ROS) and implemented in a DJI Tello as an UAV application. …”
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Modified firefly algorithm for directional overcurrent relay coordination in power system protection / Muhamad Hatta Hussain
Published 2020“…All the developed techniques have been validated on the IEEE 8-Bus, WSCC 9-bus and IEEE-14 Bus Transmission Systems. The Electric Transient and Analysis Program (ETAP) was used as the simulation tool, while Matrices Laboratory (MATLAB) was utilized to implement all the algorithms in this study. …”
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An evaluation of Monte Carlo-based hyper-heuristic for interaction testing of industrial embedded software applications.
Published 2020“…We applied Q-EMCQ on 37 real-world industrial programs written in Function Block Diagram (FBD) language, which is used for developing a train control management system at Bombardier Transportation Sweden AB. …”
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Hardware Acceleration of Window Big-Digit (Wbd) Multiplication for Embedded Applications
Published 2015“…The accelerator is equipped with AXI interface and integrated into an ARM-based SoC system for benchmarking purpose. …”
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Neural network modeling and optimization for spray-drying coconut milk using genetic algorithm and particle swarm optimization
Published 2022“…Firstly, using MATLAB program, the ANN model is developed based on optimized topology and is then furthered optimized by genetic algorithm (GA) and particle swarm optimization (PSO) using MINITAB program. …”
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Integrating Interactive Multimedia Objects in Mobile Augmented Reality for Sarawak Tourism
Published 2018“…This research studies ARToolKitPlus tracking and developed an Android based AR system which integrate mobile graphics and interaction modules, such as audio, video and 3D objects. …”
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Feedback Control Of Inverted Pendulum Using Raspberry Pi Microcontroller And Arduino UNO
Published 2018“…The algorithms for controlling the motor and the encoder are built to perform their respective functions. …”
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Monograph -
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A new technique for maximum load margin estimation and prediction
Published 2023“…For validation, FAISVM was compared with Evolutionary Support Vector Machine (ESVM) that uses Evolutionary Programming (EP) as the search algorithm. Based on the results, it shows that FAISVM outperforms ESVM with a higher accuracy prediction value.…”
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