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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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Programming Approach in Teaching Operations Research Techniques for Computer Science Students
Published 2005“…OR techniques include among others, linear programming, non-linear programming, integer programming, data analysis including statistics, simulation, and goal programming. …”
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Comparison Of Two Hybrid Algorithms On Incorporated Aircraft Routing And Crew Pairing Problems
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Web-based expert system for material selection of natural fiber- reinforced polymer composites
Published 2015“…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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Determining optimal transportation allocation using linear programming methods / Tengku Mohd Hazimi Tuan Hassan and Maslin Masrom
Published 2022“…The transportation problem is a subset of the broader linear programming (L.P.) technique developed to assist managers in making decisions. …”
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Optimization of multipurpose reservoir operation using evolutionary algorithms / Mohammed Heydari
Published 2017“…The described model was resolved by linear programming and evolutionary algorithms in Microsoft Excel (Solver). …”
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Fast recovery of unknown coefficients in DCT-transformed images
Published 2017“…Recent research has shown that linear programming is a powerful tool to recover unknown coefficients in DCT-transformed images. …”
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Vehicle routing problem: models and solutions
Published 2008“…Recently many exact methods have been used to solve the VRP such as exact algorithms based on linear programming techniques and guided local search. …”
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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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Hybrid Spatial-Artificial Intelligence Approach for Renewable Energy Sources Sites Identification and Integration in Sarawak State
Published 2022“…The minimum total distances in all four cases are acquired and validated as both the TSP-GA algorithm and the Traveling Salesman Problem-Mixed Integer Linear Programming (TSP-MILP) algorithm produced the same routing pattern. …”
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Rainfall time series modeling for a mountainous region in West Iran
Published 2010“…Hence, this study is to investigate the effect of linear and non-linear techniques on long-term rainfall forecasting. …”
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Discrete-event simulation for outpatient flow and emergency patient arrival in a haemodialysis unit
Published 2023“…Discrete-event simulation is used to estimate the outpatients flow based on the mean arrival rate, ». A modified integer linear programming model is presented in this paper which highlighted on the patients arrival time, patients departure time and bed availability for emergency case. …”
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Nested repetitive structure techniques in examination seating number allocation process at UiTM Pulau Pinang branch / Jamal Othman, Rozita Kadar and Naemah Abdul Wahab
Published 2020“…Since the students’ enrolments are linearly increasing every semester, the workloads among Examination Unit staffs become very burdensome in assigning the seating number. …”
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Counting roots of the Polynomial systems by using mixed volume of the Newton polytopes / Nur Suhailah Norazhar, Nur Ain Sofiya Zainuri and Nor Suhada Mohd Rosdi
Published 2024“…In addition, it is important to focus on addressing any potential factors that may affect the accuracy and reliability of root counting algorithms in computational programs like Maple. Collaboration among experts in the same field is essential for advancing computational tools in this domain. …”
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Optimization of pressure vessel design using pyopt
Published 2016“…In this study, we used pyOpt to solve pressure vessel design problem. Among the available optimizers in pyOpt, SLSQP (Sequential least squares programming), COBYLA (Constrained Optimization by Linear Approximation), ALPSO (Augmented Lagrangian Particle Swarm Optimizer), NSGAII (Non Sorting Genetic Algorithm II), MIDACO (Mixed Integer Distributed Ant Colony Optimization), and ALGENCAN (Augmented Lagrangian with GENCAN) were used. …”
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Optimization of pressure vessel design using pyopt
Published 2016“…In this study, we used pyOpt to solve pressure vessel design problem. Among the available optimizers in pyOpt, SLSQP (Sequential least squares programming), COBYLA (Constrained Optimization by Linear Approximation), ALPSO (Augmented Lagrangian Particle Swarm Optimizer), NSGAII (Non Sorting Genetic Algorithm II), MIDACO (Mixed Integer Distributed Ant Colony Optimization), and ALGENCAN (Augmented Lagrangian with GENCAN) were used. …”
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Technical efficiency performance of Malaysian public research universities: Fuzzy data envelopment analysis / Saber Abdelall Mohamed Ahmed
Published 2023“…This study integrates the concept of fuzzy set theory with the traditional DEA by introducing an algorithm to measure the technical efficiency of PRUMs in the form of fuzzy linear programming (FLP) models. …”
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