Search Results - (( job application system algorithm ) OR ( its application ((need algorithm) OR (_ algorithm)) ))
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Ant colony optimization algorithm for dynamic scheduling of jobs in computational grid
Published 2012“…Job scheduling problem is classified as an NP-hard problem.Such a problem can be solved only by using approximate algorithms such as heuristic and meta-heuristic algorithms.Among different optimization algorithms for job scheduling, ant colony system algorithm is a popular meta-heuristic algorithm which has the ability to solve different types of NP-hard problems.However, ant colony system algorithm has a deficiency in its heuristic function which affects the algorithm behavior in terms of finding the shortest connection between edges.This research focuses on a new heuristic function where information about recent ants’ discoveries has been considered.The new heuristic function has been integrated into the classical ant colony system algorithm.Furthermore, the enhanced algorithm has been implemented to solve the travelling salesman problem as well as in scheduling of jobs in computational grid.A simulator with dynamic environment feature to mimic real life application has been development to validate the proposed enhanced ant colony system algorithm. …”
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Impatient job scheduling under cloud computing
Published 2012“…The limitations of those algorithms were addressed and this leads to the proposition of an algorithm that has the ability to map the impatient jobs to virtual machines near its input, output, application, or forth party. …”
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Impatient task mapping in elastic cloud using genetic algorithm
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Scheduling divisible real-time loads on clusters with varying processor start times
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DESIGN AND EVALUATION OF RESOURCE ALLOCATION AND JOB SCHEDULING ALGORITHMS ON COMPUTATIONAL GRIDS
Published 2012“…Thus, overall aim of this research is to introduce new grid scheduling algorithms for resource allocation as well as for job scheduling for enabling a highly efficient and effective utilization of the resources in executing various applications. …”
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New heuristic function in ant colony system for job scheduling in grid computing
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Conference or Workshop Item -
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Ant colony optimization algorithm for load balancing in grid computing
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Simulated annealing approach to cost-based multi- quality of service job scheduling in cloud computing enviroment
Published 2014“…A Genetic Algorithm (GA) for job scheduling has been proposed and produced good results. …”
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Quantum Particle Swarm Optimization Technique for Load Balancing in Cloud Computing
Published 2013“…Secondly, this thesis proposes job-combination based static algorithm for load balancing where all jobs should organized into the standard job combinations, each task of which consists of one to four jobs. …”
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Adaptive artificial neural network for power system security assessment and control action
Published 2012“…The proposed algorithm has been successfully tested on IEEE 9-bus test system,IEEE 39-bus test system and Peninsular Malaysia Grid 275kV for the steady-statesecurity assessment and control. …”
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Comparison of path planning in simulated robot
Published 2020“…This is because each path planning algorithm has its own applicable domain, performance, advantages and disadvantages in various situations. …”
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Topology-aware hypergraph based approach to optimize scheduling of parallel applications onto distributed parallel architectures
Published 2020“…Modelling refers to constructing a model to depict the structure of the application with its tasks and describing the interactions between them. …”
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Content-based recommender system for an academic social network / Vala Ali Rohani
Published 2014“…In its formulation, the algorithm considers the interests and preferences of users’ friends and faculty mates in addition to users’ own preferences. …”
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Classification and visualization on eligibility rate of applicant’s LinkedIn account using Naïve Bayes / Nurul Atirah Ahmad
Published 2023“…The NB model achieved a commendable accuracy of 89.8%, indicating good performance in classifying potential job applicants. The system’s functionality based on the use case and usability tested by the Human Resources expert has been tested to evaluate its system requirements. …”
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