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Hybridizing guided genetic algorithm and single-based metaheuristics to solve unrelated parallel machine scheduling problem with scarce resources
Published 2023“…There are j jobs, and each job needs to be processed on one of the machines aim at minimizing the makespan. …”
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Application of Multi-objective Genetic Algorithm (MOGA) optimization in machining processes
Published 2020“…A Pareto optimal set is a set of solutions that are non-dominated solutions frontier. …”
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Book Chapter -
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A genetic algorithm on single machine family scheduling problem to minimise total weighted completion time
Published 2009“…The computational results indicate the effectiveness of the proposed algorithm in generating better quality solutions compared to other algorithms. …”
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Article -
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Process Planning Optimization In Reconfigurable Manufacturing Systems
Published 2008“…Five (5) Alternative Algorithm Design Techniques (AADTs) were developed and investigated for suitability in providing process planning solutions suitable for reconfigurable manufacturing. …”
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Thesis -
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…The process begins through the monitoring of plants using sensors connected to the Arduino device. Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. …”
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Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process
Published 2004“…Artificial Neural Network (ANN) was selected from Machine Learning Algorithms to be the learning algorithm. …”
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Thesis -
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Optimised Crossover Genetic Algorithms for Combinatorial Optimisation Problems
Published 2010“…A Genetic Algorithm is successful in generating near -optimal solutions if it is able to produce o®spring during crossover that is better than the parent solutions. …”
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Thesis -
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Data Analysis and Machine Learning Algorithms Evaluation for Bioliq AI-based Predictive Tool
Published 2019“…The mass production hasn’t initiated due to the inefficiency of the process and the dependency on experts. EDI GmbH in collaboration with Karlsruhe Institute of Technology (KIT) are working on the solution (AI-based tool for predictive process optimization for chemical plants) for the above-mentioned problem. …”
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Final Year Project -
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Intelligent classification algorithms in enhancing the performance of support vector machine
Published 2019“…This can be achieved by simultaneously executing the selection of feature subset and tuning SVM parameters simultaneously. The algorithms are called ACOMVSVM and IACOMV-SVM. The difference between the algorithms is the size of the solution archive. …”
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Route Planning Analysis In Holes Drilling Process Using Magnetic Optimization Algorithm For Electronic Manufacturing Sector
Published 2013“…The process is repeated until the stopping condition meets and the solution with lowest distance is taken as the best-found solution. …”
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A genetic algorithm to minimise the maximum lateness on a single machine family scheduling problem
Published 2009“…Hence when setup time is small more batches are formed which means fewer jobs are to be processed per batch.The proposed OCGA effectively solve the problem with better solution quality compared to other local search methods. …”
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Conference or Workshop Item -
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A Recent Research on Malware Detection Using Machine Learning Algorithm: Current Challenges and Future Works
Published 2023Conference Paper -
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Flexible job shop scheduling using priority heuristics and genetic algorithm
Published 2010“…The relevant operation is processed by only one of the uniform machines in that stage. …”
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Thesis -
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Multi-objectives process optimization in end milling process of aluminium alloy 6061-T6 using genetic algorithm
Published 2024“…For future study, other methods or algorithms can be applied in other machining processes to obtain optimum machining parameters.…”
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Conference or Workshop Item -
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Intelligent Sensor Data Pre-processing Using Continuous Restricted Boltzmann Machine
Published 2007“…This solution must be able to process continuous-time, analogue sensor signals directly. …”
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Final Year Project -
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Waste management using machine learning and deep learning algorithms
Published 2020“…For our research we did the comparisons between three Machine Learning algorithms, namely Support Vector Machine (SVM), Random Forest, and Decision Tree, and one Deep Learning algorithm called Convolutional Neural Network (CNN), to find the optimal algorithm that best fits for the waste classification solution. …”
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Optimization of cnc turning parameters for minimizing temperature rise in aluminum using a genetic algorithm
Published 2024“…Temperature rise during the machining process and surface roughness of the workpiece are crucial machining outcomes during the turning process. …”
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Thesis -
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Application of the Bees Algorithm to find optimal drill path sequence
Published 2024“…The Bees Algorithm was run using R Software. The results found are compared with the results of other algorithms in terms of the drill path length and machining time. …”
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