Search Results - (( guide simulation model algorithm ) OR ( java application optimized algorithm ))
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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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Article -
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Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
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Performance evaluation of real-time multiprocessor scheduling algorithms
Published 2016“…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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Route Optimization System
Published 2005“…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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Final Year Project -
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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Automatic Initialization Of Contour For Level Set Algorithms Guided By Integration Of Multiple Views To Segment Abdominal CT Scans
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Development of FRID based 2d localization simulation for autonomous guided vehicle tracking in indoor environment
Published 2018“…As an enhancement feature for the AGV, in this paper, simulation of 2D localization for tracking an autonomous guided vehicle (AGV) using RFID in an indoor manufacturing environment is presented. …”
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Fitness-guided particle swarm optimization with adaptive Newton-Raphson for photovoltaic model parameter estimation
Published 2025“…This study introduces a new approach for parameter optimization in the four-diode photovoltaic (PV) model, employing a Dynamic Fitness-Guided Particle Swarm Optimization (DFGPSO) algorithm and Enhanced Newton-Raphson (ENR) method. …”
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A Fuzzy Hybrid GA-PSO Algorithm for Multi-Objective AGV Scheduling in FMS
Published 2017“…A fuzzy hybrid GA-PSO (genetic algorithm – particle swarm optimization) algorithm was developed to optimize the model. …”
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Ant colony optimization algorithm for load balancing in grid computing
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Monograph -
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Optimal damper location for mid-high frequency vibration control on built-up structures: case study using VA one
Published 2012“…The guide is derived from simulation studies carried out on a set of benchmark models. …”
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Mobile Crowd Steering Evacuation Model via Agent Based Simulation by Applying the Social Force Model
Published 2025“…The current crowd simulation model describes context information, however how to simulate information dissemination in mobile crowd guiding evacuation remains unknown. …”
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Thesis -
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A quick gbest guided artificial bee colony algorithm for stock market prices prediction
Published 2018“…The objective of this work is to present a Quick Gbest Guided artificial bee colony (ABC) learning algorithm to train the feedforward neural network (QGGABC-FFNN) model for the prediction of the trends in the stock markets. …”
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Optimizing the Social Force Model Using New Hybrid WOABAT-IFDO in Crowd Evacuation in Panic Situation
Published 2022“…There is a need for SFM to be incorporated with an intelligent approach in a simulation environment by adding in behaviour of following the position indicator to guide agents towards the exit to ensure minimal evacuation time. …”
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Proceeding -
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Computer Lab Timetabling Using Genetic Algorithm Case Study - Unit ICT
Published 2006“…Genetic Algorithm is one of the most popular optimization solutions used in various applications such as scheduling. …”
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Evaluation of Real-Time Visio-Haptic Deformable Bovine Rectal Palpation Simulator
Published 2010“…Further work is in progress to model the entire reproductive tract and to find efficient algorithms for interactive deformation. …”
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