Search Results - (( program application using algorithm ) OR ( parameter simulation model algorithm ))
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1
Using simulated annealing algorithm for optimization of quay cranes and automated guided vehicles scheduling
Published 2011“…Based on the simulated annealing (SA) algorithm, a scheduling method is proposed to solve the problem in a relatively short period of time. …”
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2
Formulating and solving stochastic truck and trailer routing problems using meta-heuristic algorithms / Seyedmehdi Mirmohammadsadeghi
Published 2015“…The solutions have been significantly improved by the algorithms. This issue has been formulated under chance constrained programming (CCP) model and stochastic programming model with recourse (SPR). …”
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3
Finite Element Modeling Of Ballistic Penetration into Fabric Armor
Published 2006“…Finite element models of fabric impact were made with initial conditions extracted from literature and simulations were performed. …”
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4
Fast Transient Simulations From S-Parameters With Improved Reference Impedance
Published 2015“…Hence, a fast transient simulation is utilized based on scattering parameter (S-parameter) convolution. …”
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5
Optimization of heating, Ventilating and Air Conditioning (HVAC) systems: A review
Published 2023“…Current literature are summarized with highlights given to the optimization algorithms used, control scheme, objective function parameters, HVAC simulation tools, optimization programs and HVAC simulation model approaches. …”
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PID-based control of a single-link flexible manipulator in vertical motion with genetic optimisation
Published 2009“…This paper presents an investigation into dynamic simulation and controller optimization based on genetic algorithms (GAs) for a single-link flexible manipulator system in vertical plane motion. …”
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Proceeding Paper -
7
Discrete-time system identification using genetic algorithm with single parent-based mating technique
Published 2024“…The methodology encompasses data acquisition, GA program development, SPM technique implementation, and simulation using MATLAB. …”
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8
Solving the integrated inventory supply chain problems using meta-heuristic methods / Seyed Mohsen Mousavi
Published 2018“…A Modified Particle Swarm Optimization (MPSO) algorithm, a Genetic Algorithm (GA), a modified fruit fly optimization algorithm (MFOA) and a simulated annealing (SA) algorithm were used to find the optimal solution. …”
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9
Satellite attitude tracking control using thrusters and momentum wheels
Published 2018“…MATLAB software package is used as a simulation environment to develop and test the performance of the proposed tracking control algorithms using a Graphical User Interface (GUI) tool that can be expanded for future development.…”
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10
Modelling of Adsorption of Dyes from Aqueous Solution by Activated Carbon
Published 2004“…Simulation results show that, for acid dye/activated carbon system a single set of mass transfer parameters is able to match the simulation and experimental data using the FPCDSD model and the FCDSD model. …”
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11
Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process
Published 2004“…Artificial Neural Network (ANN) was selected from Machine Learning Algorithms to be the learning algorithm. ANN is a computer-based simulation of the living nervous system which works quite differently from conventional programming. …”
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12
Regionalization by fuzzy expert system based approach optimized by genetic algorithm.
Published 2013“…In recent years soft computing methods are being increasingly used to model complex hydrologic processes. These methods can simulate the real life processes without prior knowledge of the exact relationship between their components. …”
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13
Vision-Based Autonomous Vehicle Driving Control System
Published 2005“…Therefore, this study presents a simulation system with Graphical User Interface (GUI) to simulate and analyse the driving control for autonomous vehicle that based on video taken fiom the vehicle during driving on highway, by using MATLAB programming. …”
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14
Vision-based autonomous vehicle driving control system
Published 2005“…Therefore, this study presents a simulation system with Graphical User Interface (GUI) to simulate and analyse the driving control for autonomous vehicle that based on video taken from the vehicle during driving on highway, by using MATLAB programming. …”
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15
A Simulated Annealing Approach to Solve Fuzzy Multi-Objective Linear Model for Supplier Selection in a Supply Chain
Published 2010“…Finally the problem is solved by using simulated annealing algorithm to enable the decision-maker to select the right suppliers and allocate their quota in order to minimize the cost, maximize the quality level and again maximize the service level.…”
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16
Effects of Authentication of Users in Mobile Internet Protocol Version 6
Published 2004“…Therefore it becomes necessary to apply the application layer solution to the network layer. In this thesis, a user authentication program is modeled and simulated using Network simulator2 (NS2). …”
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17
Efficient task scheduling strategies using symbiotic organisms search algorithm for cloud computing environment
Published 2022“…Also, the results of the simulations on normal, left-half, right-half and uniform datasets showed the proposed scheduling approach obtained a better performance on degree of imbalance over the benchmarked OTB-CSO algorithm. …”
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18
Fault detection and diagnosis using rule-based support system on fatty acid fractionation column
Published 2003“…Process history based methods (rule-based feature extraction) is used to implement the FDD rule-based support system. Plant model was simulated by using an existing commercial process simulator-HYSYS. …”
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New synchronization protocol for distributed system with TCP extension
Published 2013“…The new protocol is simulated with using the OPNET and the MATLAB software. …”
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20
Hybrid fuzzy-sliding mode observer design for estimation and advanced control of an ethylene polymerization process / Jarinah Mohd Ali
Published 2017“…This feature is unique and different from the observers available in the literature. The estimated parameters are then used as the measured parameters to develop a model predictive control (MPC) for overall control of the process system. …”
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