Search Results - (( programming model minimization algorithm ) OR ( java application optimisation algorithm ))
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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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An Integer Linear Programming model and Adaptive Genetic Algorithm approach to minimize energy consumption of Cloud computing data centers
Published 2018“…Hence, solutions are needed to minimize the energy consumption. 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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Development of dynamic programming algorithm for maintenance scheduling problem
Published 2020“…Using the dynamic programming algorithm developed, the model was also able to recalculate alternative schedules by replacing unavailable teams with other teams to avoid delays. …”
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Thesis -
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Modeling and optimization of cold extrusion process by using response surface methodology and metaheuristic approaches
Published 2018“…Minimization of punch load during the extrusion process was first formulated as a nonlinear programming model using response surface methodology in this study. …”
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Optimization algorithm for designing vertical alignments of highways / Zahriani Mastam
Published 2006“…Meanwhile, computerized highway optimization models can seek optimized horizontal and vertical alignments by minimizing aspects of total cost. …”
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Student Project -
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Loss minimization with SVC installation using the Firefly Algorithm method / Syazana Abdul Halim
Published 2012“…This thesis presents the Firefly Algorithm (FA) Method' in minimizing loss in the transmission lines in power systems. …”
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Mathematical models and optimization algorithms for low-carbon Location-Inventory-Routing Problem with uncertainty
Published 2024“…The other two models are bi-objective mixed integer nonlinear programming models with soft time window constraints developed to minimize costs and maximize customer satisfaction under uncertain demand, which include stochastic and fuzzy demand, respectively. …”
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Solving the integrated inventory supply chain problems using meta-heuristic methods / Seyed Mohsen Mousavi
Published 2018“…The main novelty of the first model is to minimize the required storage space for the first time in the literature in addition to minimizing the total inventory cost. …”
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Metaheuristic Algorithms Based on Compromise Programming for the Multi-Objective Urban Shipment Problem
Published 2022“…We offered compromise programming to approach the multi-objective problem by decomposing the original multi-objective problem into a minimized distance-based problem. …”
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Modelling and optimisation of blood glucose control for type 1 diabetes using multi-parametric programming and model-based predictive control (mp-MPC) / Associate Professor Dr Ayub...
Published 2014“…In doing so, Multi-Parametric Programming technique is used to develop the computer algorithm; whereas Model-Based Predictive Control (MPC) is adopted for the design of the controller. …”
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Monograph -
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An iterative procedure for production-inventory-distribution routing problem
Published 2015“…We propose a MatHeuristic algorithm, an optimization algorithm made by the interpolation of metaheuristics and mathematical programming techniques, to solve the model. …”
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Conference or Workshop Item -
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Long-term optimal planning of distributed generations and battery energy storage systems towards high integration of green energy considering uncertainty and demand response progra...
Published 2025“…Additionally, the model incorporates a demand response program (DRP) to enhance green energy integration further. …”
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Real-time algorithmic music composition application.
Published 2022“…This project is about the study of evolutionary music, and focuses on the development of an algorithmic music composer using the Java programming language. …”
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Final Year Project / Dissertation / Thesis -
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Designing a New Model for Worm Response Using Security Metrics
Published 2024“…Based on the experiment conducted, it produced an overall accuracy rate of 99.38 % using Sequential Minimal Optimization (SMO) algorithm. This performance criteria result indicated that this model is an efficient worm response model.…”
Proceedings Paper
