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Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network
Published 2024“…Additionally, the multi-objective genetic algorithm (MOGA) was utilised to extract the most optimal parameters for the injection moulding process, aiming to minimise shear and residual stress and thereby increase the resistance of the final product. …”
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Modeling and Control of a Thermally Driven MEMS Actuator for RF Applications
Published 2017Get full text
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Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing
Published 2016Get full text
doctoralThesis -
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Gas Metal Arc Welding (GMAW) Process Optimization Using Machine Learning Models
Published 2023Get full text
doctoralThesis -
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Multi-Objective Co-optimization of Power and Gas under Uncertainties with P2H embedded
Published 2022Get full text
doctoralThesis -
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Genetic and heuristic algorithms for regrouping service sites. (c2000)
Published 2000Get full text
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Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain
Published 2021“…An iterative dynamic scheduling algorithm (DCSDBP) was developed to address the data batching process. …”
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Scatter search algorithm for the cross-dock door assignment problem
Published 2014Get full text
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Multi-Objective Task Allocation Via Multi-Agent Coalition Formation
Published 2012Get full text
doctoralThesis -
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FPGA-based Parallel Hardware Architecture for Real-time Object Classification
Published 2014Get full text
doctoralThesis -
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A reduced model for phase-change problems with radiation using simplified PN approximations
Published 2025“…The integro-differential equation for the full radiative transfer is replaced by a set of differential equations which are independent of the angle variable and easy to solve using conventional computational methods. To solve the coupled equations, we implement a second-order implicit scheme for the time integration and a mixed finite element method for the space discretization. …”
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DG-Means – A Superior Greedy Algorithm for Clustering Distributed Data
Published 2022“…Clustering is the process of dividing a set of objects into several classes in which each class is composed of similar objects. …”
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masterThesis -
20
Multi-Objective Optimization for Food Availability under Economic and Environmental Risk Constraints
Published 2024“…Utilizing these assessments, a multi-objective optimization model is developed and solved using MATLAB (R2018a)’s Genetic Algorithm, aiming to identify optimal suppliers to meet Qatar’s food demand, with consideration of the economic, environmental, and risk factors. …”