Search Results - (( control optimization method algorithm ) OR ( program implementation using algorithmic ))
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1
Network reconfiguration and control for loss reduction using genetic algorithm
Published 2010“…Two selection methods that are used in Genetic Algorithm are the roulette wheel and tournament selections. …”
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Thesis -
2
Optimization of Digital Electronic Circuit Structure Design Using Genetic Algorithm
Published 2008“…In the future development, the proposed system can be used as the discrete controller when it implemented in the process control application.…”
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Thesis -
3
A study on solution of matrix riccati differential equations using ant colony programming and simulink / Mohd Zahurin Mohamed Kamali
Published 2015“…In this thesis, we implement the modified ant colony programming (ACP) algorithm for solving the matrix Riccati differential equation (MRDE). …”
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4
Power system network splitting and load frequency control optimization using ABC based algorithms / Kanendra Naidu a/l Vijyakumar
Published 2015“…This research presents a modified optimization program for the system splitting problem in large scale power system based on Artificial Bee Colony algorithm and graph theory. …”
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5
Modular motor driver with torque control for gripping mechanism
Published 2023“…These graphical outputs of the controller was evaluated based on the response time, degree of overshooting, and steady-state error to determine the most optimal method of control to be implemented in torque control scheme. …”
Conference paper -
6
Automatic generation of neural game controller using single and bi-objective evolutionary optimization algorithms for RTS Game
Published 2015“…In the last experiment, the results showed that DE and EP algorithms can generate superior controllers whilst PDE is only capable to generate sub-optimal controllers. …”
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7
Design, development and performance optimization of a new artificial intelligent controlled multiple-beam optical scanning module
Published 2006“…The representation approach has been implemented via a computer program in order to achieve optimized marking performance. …”
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Comprehensive power restoration approach using rule-based method for 11kV distribution network
Published 2023“…This paper presents a restoration algorithm based on a Rule-Based approach. The algorithm is computationally programmed to provide multiple solutions and to recommend the best option of switching for a dispatcher. …”
Conference Paper -
10
Design, development and performance optimization of a new artificial intelligent controlled multiple-beam optical scanning module
Published 2023“…The representation approach has been implemented via a computer program in order to achieve optimized marking performance. …”
Article -
11
Design, development and performance optimization of a new artificial intelligent controlled multiple-beam optical scanning module
Published 2023“…The representation approach has been implemented via a computer program in order to achieve optimized marking performance. …”
Article -
12
A Framework for Green Energy Resources Identification and Integration Supported by Real-Time Monitoring, Control, and Automation Applications
Published 2025“…Validation against conventional methods and state-of-the-art algorithms confirmed the superior performance of the proposed approach. …”
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Thesis -
13
ETOU electricity tariff for manufacturing load shifting strategy using ACO algorithm
Published 2019“…This paper presents load shifting strategy for cost reduction on manufacturing electricity demand side, by which a real test load profile had been used to prove the concept. Superior bio-inspired algorithm, Ant Colony Optimization (ACO) had been implemented to optimize the upright load profile of load shifting strategy in the Malaysia Enhance Time of Use (ETOU) tariff condition. …”
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Article -
14
Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh
Published 2015“…ARDE algorithm makes use of JADE strategy and the MDE_pBX parameters adaptive schemes as frameworks. …”
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Thesis -
15
Small signal oscillatory instability control of power system using posicast controller and evolutionary programming
Published 2014“…Two methods of optimization which are Evolutionary Programming (EP) and Genetic Algorithm (GA) were used to find the best value of the K and their comparative study were analyzed. …”
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Thesis -
16
Path Following Using A Learning Neural Network
Published 2004“…This thesis is a development ofprevious works done by [2} on capability of neural controller to efficiently track prescribed paths. Equipped with knowledge on optimal preview control obtained from [1], the initial weights of linear and nonlinear neural controller are initialized to the optimal gains. …”
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Final Year Project -
17
The assessment and improvement of angle stability condition of the power system using particle swarm optimization (PSO) technique / Nor Azwan Mohamed Kamari
Published 2016“…The application of the proposed algorithm has been justified as the most accurate with lower computation time as compared to other optimization techniques such as evolutionary programming (EP) and artificial immune system (AIS). …”
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18
A comprehensive power restoration approach using rule-based method for 11kV distribution network
Published 2008“…This paper presents a restoration algorithm based on a Rule-Based approach. The algorithm is computationally programmed to provide multiple solutions and to recommend the best option of switching for a dispatcher. …”
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Conference or Workshop Item -
19
Deep Reinforcement Learning For Control
Published 2021“…In this thesis work, a method using deep reinforcement learning to train a controller with proper driving behavior has been proposed. …”
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Monograph -
20
The assessment and improvement of angle stability condition of the power system using particle swarm optimization (PSO) technique / Nor Azwan Mohamed Kamari
Published 2017“…The application of the proposed algorithm has been justified as the most accurate with lower computation time as compared to other optimization techniques such as evolutionary programming (EP) and artificial immune system (AIS). …”
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