Search Results - (( manufacturing implementation best algorithm ) OR ( java implication based algorithm ))
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Manufacturing process planning optimisation in reconfigurable multiple parts flow lines
Published 2008“…Two modified genetic algorithms are devised and employed to provide the best approximate process planning solution. …”
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Application of adaptive bats sonar algorithm to minimise car side impact design
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Optimization of multi-holes drilling path using particle swarm optimization
Published 2022“…The results from the computational experiment indicated that the proposed PSO algorithm came out with the best solution in 10 out of the 15 test problems. …”
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The formulation of a transfer learning pipeline for the classification of the wafer defects
Published 2023“…In a semiconductor manufacturing process, a semiconductor wafer may have defects which are unacceptable due to its complexity in manufacturing process. …”
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Route Planning Analysis In Holes Drilling Process Using Magnetic Optimization Algorithm For Electronic Manufacturing Sector
Published 2013“…Based on this motivation, this paper proposes an approach which is based on the experimentation of Magnetic Optimization Algorithm. In this implementation, each magnetic agent or particle in Magnetic Optimization Algorithm represents a candidate solution of the problem. …”
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Genetic Algorithm Performance with Different Selection Strategies in Solving TSP
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Investigation of rectangular shape object detection and classification using python
Published 2022“…However, high productivity is not the only main purpose of a successful food manufacturing industries. The quality of the food itself need to accommodate the standard quality that has been lined by authorities to ensure that the quality of the food product must be at the best standard along with its high productivity. …”
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Optimal load management strategy for enhanced time of use (ETOU) electricity tariff in Peninsular Malaysia / Mohamad Fani Sulaima
Published 2020“…Self-organizing mapping algorithm was integrated with the PSO, EPSO, and ACO algorithms to classify and select the best load management (LM) strategies. …”
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Forecasting Malaysia gold’s price by using neural networks / Norpah Mahat, Aini Mardhiah Yusuf and Siti Sarah Raseli
Published 2019“…The results show that the Conjugate Gradient Algorithm (CGA) is chosen as the best neural network algorithm to forecast gold price since it has a higher value of correlation and R square with the best architecture design [2-5-1]. …”
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Simulated Kalman Filter algorithms for solving optimization problems
Published 2019“…In the benchmarking of the SKF and ssSKF algorithms’ performance in solving the 14-hole PCB drill path optimization case study with recent implementations, on average, both algorithms show the ability to converge to the optimal solution at a smaller number of function evaluations compared to the Gravitational Search Algorithm (GSA), Cuckoo Search (CS), and Intelligent Water Drop (IWD), although fall-short to the Taguchi- Genetic Algorithm optimization algorithm.…”
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Hybrid flow shop scheduling with energy consumption in machine shop using moth flame optimization
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Solving assembly sequence planning using angle modulated simulated kalman filter
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Modular robotic platform for autonomous machining
Published 2019“…A graphical user interface (GUI) was designed and implemented to operate the robot and the drilling spindle. …”
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A new 13N-complexity memory built-in self-test algorithm to balance static random access memory static fault coverage and test time
Published 2025“…The newly produced March AZ1 algorithm was successfully implemented in an MBIST controller. …”
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Energy efficient modeling and optimization for assembly sequence planning using moth flame optimization
Published 2019“…Furthermore, this is the first attempt to implement MFO for the ASP problem.…”
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IMPLEMENTATION OF ADVANCED PROCESS CONTROL FOR FLOW CONTROL APPLICATION
Published 2013“…Thus, to reduce the waste, the conventional PID controller is not the best option. However, model predictive control (MPC) has a success story in the process industry and manufacturing of its high performance in controlling a system with multivariable control simultaneously. …”
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Final Year Project -
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Nonlinear Control Of Robot Manipulator Using Sliding Mode And Computed Torque Control Technique
Published 2015“…The SMCTC is robust towards external disturbance, and has shown the best performance. The implementation of reaching control law not only reduced the settling time, but was also able to eliminate the chattering phenomenon. …”
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