Search Results - (( its implementation function algorithm ) OR ( java simulation optimization algorithm ))
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1
Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…The simulation is implemented with iFogSim and java programming language. …”
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Article -
2
Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing
Published 2011“…Global pheromone update is performed after the completion of processing the jobs in order to reduce the pheromone value of resources. A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against existing grid resource management algorithms such as Antz algorithm, Particle Swarm Optimization algorithm, Space Shared algorithm and Time Shared algorithm, in terms of processing time and resource utilization. …”
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Thesis -
3
Ant colony optimization algorithm for load balancing in grid computing
Published 2012“…The proposed algorithm is known as the enhance ant colony optimization (EACO). …”
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Monograph -
4
OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT
Published 2023“…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. …”
Review -
5
A-star (A*) algorithm implementation for robotics path planning navigation
Published 2018“…This thesis is about the implementation of Astar (A*) algorithm as path planning algorithm used in robotics navigation. …”
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Undergraduates Project Papers -
6
Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…This study proposes a car parking management system which applies Dijkstra’s algorithm, Ant Colony Optimization (ACO) and Binary Search Tree (BST) in structuring a guidance system for indoor parking. …”
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Thesis -
7
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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Thesis -
8
Resource management in grid computing using ant colony optimization
Published 2011“…Resources with high pheromone value are selected to process the submitted jobs.Global pheromone update is performed after completion processing the jobs in order to reduce the pheromone value of resources.A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against other ant based algorithm, in terms of resource utilization.Experimental results show that EACO produced better grid resource management solution.…”
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Monograph -
9
Training functional link neural network with ant lion optimizer
Published 2020“…This paper proposed the implementation of Ant Lion Algorithm as learning algorithm to train the FLNN for classification tasks. …”
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Conference or Workshop Item -
10
Design and implementation of MD5 hash function algorithm using verilog HDL
Published 2022“…Among hash algorithms, MD5 is the most used hash function algorithm. …”
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11
Design and Implementation of MDS Hash Function Algorithm Using Verilog HDL
Published 2020“…Among hash algorithms, MD5 is the most used hash function algorithm. …”
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Article -
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Implementation of locust inspired scheduling algorithm with huge number of servers for energy efficiency in a cloud datacenter
Published 2019“…Cloudsim is used as Discrete Event Simulation tool and Java as coding language to evaluate LACE algorithm. …”
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Thesis -
13
Implementation of safe experimentation spiral dynamics algorithm for self-tuning of PID controller in elastic joint manipulator
Published 2022“…Such modification is implemented to exploit the ability of spiral function in enhancing both the algorithm's exploration competency and convergence accuracy. …”
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14
Enhancing speed performance of the cryptographic algorithm based on the lucas sequence
Published 2003“…The deployment of network security procedures requires the implementation of cryptographic functions. More specifically, these include encryption, decryption, authentication, digital signature algorithms and message-digest functions. …”
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Thesis -
15
DESIGN AND IMPLEMENTATION OF RIPEMD-160 HASH FUNCTION USING VERILOG HDL
Published 2022“…This project proposes to design an iterative method of RIPEMD-160 in order to investigate the security algorithm and its implementation. Besides that, iterative methods also used to improve the frequency, power and are requirements performance of RIPEMD-160 hash function. …”
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Final Year Project Report / IMRAD -
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Design Methodology and Analysis of Hash Function based-on Field Programmable Gate Array for Hash-based Message Authentication Code Application
Published 2025“…For this purpose, cryptography hash functions are selected as a design target. These algorithms have been studied to improve the speed, area implementation, and power consumption. …”
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Thesis -
17
Hybrid evolutionary optimization algorithms: A case study in manufacturing industry
Published 2014“…This membership function is applied for its useful performance through industrial production problems by employing hybrid evolutionary optimization algorithms. …”
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Book -
18
Computing the autopilot control algorithm using predictive functional control for unstable model
Published 2009“…Hence, designed PFC algorithm need to find the suitable tuning parameters as its play an important part of the designing the autopilot controller. …”
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Conference or Workshop Item -
19
Implementation of repetitive control algorithm in reducing vibration using MATLAB/SIMULINK / Mohamad Zuhairy Mohamed
Published 2008“…As a new result it is in fact shown that the algorithm iteratively solves a Model Predictive Control related cost function. …”
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Student Project -
20
Bees algorithm enhanced with Nelder and Mead method for numerical function optimisation
Published 2019“…In order to enhance its accuracy and convergence rate, it is proposed to employ the Nelder and Mead (NM) method to implement the local search phase of the algorithm. …”
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