Search Results - (( program quality scheduling algorithm ) OR ( java application learning algorithm ))
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Schedule of tour guide using genetic algorithm / Nur Aishah Rosli
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Exam hall allocation using genetic algorithm / Norisyani Binti Fauzai
Published 2021Get full text
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Minimizing makespan of a resource-constrained scheduling problem: a hybrid greedy and genetic algorithms
Published 2015“…Our findings show that the proposed approach can provide schedules with good quality for both small and large scale problems.…”
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An Integer Linear Programming model and Adaptive Genetic Algorithm approach to minimize energy consumption of Cloud computing data centers
Published 2018“…This paper focuses on the development of a dynamic task scheduling algorithm by proposing an Integer Linear Programming (ILP) model that minimizes the energy consumption in a Cloud data center. …”
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A mixed integer linear programming model for real-time task scheduling in multiprocessor computer system
Published 2012“…This may lead to low quality service and deadline misses. The advent of multi-processor systems offers a more efficient way of processing multimedia data in real-time.With the development of appropriate scheduling algorithm, another challenge is the mode of assigning tasks in multi-processor systems.This calls for the use of an appropriate mathematical model that will take cognizance of the nature of variables involved.In this research work, a Mixed Integer Linear Programming Model (MILP) was developed to assign tasks in a multiprocessor system.The MILP model was used to assign tasks to multi-processor systems ranging between 5 and 10 homogeneous processors.The result of the simulation runs shows that with the appropriate scheduling algorithm, a high success rate ratio and guaranteed number of deadlines met could be achieved.…”
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Local search heuristics for elective surgery scheduling considering patient urgency
Published 2019“…To test the efficiency of our proposed heuristics, we compare the solutions of integer linear programming model with the heuristics. The results show that solutions obtained by the local search algorithm are good quality and has significantly reduce the computational time even when considering more surgeries in the waiting list.…”
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A Compromise Programming to Task Assignment Problem in Software Development Project
Published 2021“…This study aims to propose an approach based on multi-objective combinatorial optimization to do this automatically. The generated schedule directs the project to be completed with the shortest critical path, at the minimum cost, while maintaining its quality. …”
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An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
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A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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Selecting quality initial random seed for metaheuristic pproaches: a case of timetabling problem
Published 2008“…Techniques for selecting quality random seeding as an input for metaheuristic algorithm to solve university course timetabling are presented. …”
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Development Of Machine Learning User Interface For Pump Diagnostics
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