Search Results - (( java implementation tree algorithm ) OR ( program quality scheduling algorithm ))
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Schedule of tour guide using genetic algorithm / Nur Aishah Rosli
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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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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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…The method was implemented using Java and the results of the simulation were evaluated using five standard performance metrics: accuracy, AUC, precision, recall, and f-Measure. …”
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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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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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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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Fiber-Wireless testbed using software defined radio for protocol and algorithm testing
Published 2023“…At the fiber domain, a dynamic bandwidth allocation-limited scheduling is incorporated in the testbed. The results show that algorithms implemented in the testbed are in-line with the expected results. …”
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Hybrid meta-heuristic algorithm for solving multi-objective aggregate production planning in fuzzy environment
Published 2017“…For these proposed approaches, this study adopted a hybridization of a fuzzy programming, modify simulated annealing, and simplex downhill (SD) algorithm called Fuzzy-MSASD to resolve multiple objective linear programming APP problems in a fuzzy environment. …”
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