Search Results - (( java simulation optimization algorithm ) OR ( basic iteration based algorithm ))

Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection by Nwogbaga, Nweso Emmanuel, Latip, Rohaya, Affendey, Lilly Suriani, Abdul Rahiman, Amir Rizaan

“…The simulation is implemented with iFogSim and java programming language. …”
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Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing by Husna, Jamal Abdul Nasir

“…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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Ant colony optimization algorithm for load balancing in grid computing by Ku-Mahamud, Ku Ruhana, Mohamed Din, Aniza

“…The proposed algorithm is known as the enhance ant colony optimization (EACO). …”
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Solving Blasius equation using semi analytic iterative method / Nurul Atikah Halmi and Nur Azyyati Ayob by Halmi, Nurul Atikah, Ayob, Nur Azyyati

“…Blasius equation is known as a basic unsolidified dynamics equation. Many methods were approached to solve this problem but a new method has been conducted to resolve this difficulty which is semi analytic iterative method (SAIM). …”
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Comparative study of Newton’s method, Broyden’s method and Steepest Descent method / Nur Alia Syahirah Mazlan and Nurzahida Mohd Zaharuddin by Mazlan, Nur Alia Syahirah, Mohd Zaharuddin, Nurzahida

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Flowshop scheduling using artificial bee colony (ABC) algorithm with varying onlooker bees approaches by Mohd Pauzi, Nur Fazlinda

“…Based on this finding, the selection of the best method can be decided based on the iteration time available. …”
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Solving large systems of linear equations using iterative methods (Jacobi-Davidson, Gauss-Seidel and Successive Over-Relaxation) / Fatini Dalili Mohammed by Mohammed, Fatini Dalili

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Master-leader-slave cuckoo search with parameter control for ANN optimization and its real-world application to water quality prediction by Jaddi N.S., Abdullah S., Malek M.A.

Enhanced convergence of Bat Algorithm based on dimensional and inertia weight factor by Ramli, Mohamad Raziff, Abal Abas, Zuraida, Desa, Mohammad Ishak, Zainal Abidin, Zaheera, Al Azzam, Malik Bader Hasan

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OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT by Murad S.S., Badeel R., Alsandi N.S.A., Alshaaya R.F., Ahmed R.A., Muhammed A., Derahman M.

“…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. …”

A new image scrambling technique using block rotation algorithm based on Rubik’s cube by Abugharsa, Ahmed Bashir, Hasan Basari, Abd Samad, Almangush, Hamida

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Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

“…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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Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

“…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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Solving Nonlinear Algebraic Problem Using Newton Homotopy Differential Equation by Hasan, Talib Hashim, Chowdhury, Md. Sazzad Hossien, Prayoto, .

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Resource management in grid computing using ant colony optimization by Ku-Mahamud, Ku Ruhana, Mohamed Din, Aniza

“…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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Implementation of locust inspired scheduling algorithm with huge number of servers for energy efficiency in a cloud datacenter by Azhar, Nur Huwaina

“…Cloudsim is used as Discrete Event Simulation tool and Java as coding language to evaluate LACE algorithm. …”
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Interval iterative methods on simultaneous inclusion of polynomial zeros by Mohammad Rusli, Syaida Fadhilah

“…To begin with, the basic concepts of interval computations and some brief introductions on Newton’s method are provided. …”
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Avoiding under-reaching in twin circuit lines without residual current input from the parallel line by Mukerjee R.N., Bin Abdullah M.F., Tan K.K., Nallagownden P.

“…The paper develops characteristic expressions for the effective sequence impedances experienced by a twin-circuit, both with and without mutual coupling and presents a non-iterative microprocessor based real time algorithm for computing fault distance and zero sequence compensation in basic distance relaying scheme, Residual current measurement from the parallel circuit is not required in the algorithm. � 2007 RPS.…”

Application of genetic algorithm and JFugue in an evolutionary music generator by Tang, Jia Rou

“…This project explores the application of Genetic Algorithms (GA) with JFugue, which is a Java-based music programming library to develop an Evolutionary Music Generator. …”
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Local search manoeuvres recruitment in the bees algorithm by Muhamad, Zaidi, Mahmuddin, Massudi, Nasrudin, Mohammad Faidzul, Sahran, Shahnorbanun

“…Swarm intelligence of honey bees had motivated many bioinspired based optimisation techniques. The Bees Algorithm (BA) was created specifically by mimicking the foraging behavior of foraging bees in searching for food sources.During the searching, the original BA ignores the possibilities of the recruits being lost during the flying.The BA algorithm can become closer to the nature foraging behavior of bees by taking account of this phenomenon.This paper proposes an enhanced BA which adds a neighbourhood search parameter which we called as the Local Search Manoeuvres (LSM) recruitment factor.The parameter controls the possibilities of a bee extends its neighbourhood searching area in certain direction.The aim of LSM recruitment is to decrease the number of searching iteration in solving optimization problems that have high dimensions.The experiment results on several benchmark functions show that the BA with LSM performs better compared to the one with basic recruitment.…”
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