Search Results - (( processes evaluation method algorithm ) OR ( processes evaluation case algorithm ))
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Hybrid Artificial Bees Colony Algorithms For Optimizing Carbon Nanotubes Characteristics
Published 2018“…Optimization is a crucial process to select the best parameters in single and multi-objective problems for manufacturing process.However,it is difficult to find an optimization algorithm that obtain the global optimum for every optimization problem.Artificial Bees Colony (ABC) is a well-known swarm intelligence algorithm in solving optimization problems.It has noticeably shown better performance compared to the state-of-art algorithms.This study proposes a novel hybrid ABC algorithm with β-Hill Climbing (βHC) technique (ABC-βHC) in order to enhance the exploitation and exploration process of the ABC in optimizing carbon nanotubes (CNTs) characteristics.CNTs are widely used in electronic and mechanical products due to its fascinating material with extraordinary mechanical,thermal,physical and electrical properties. …”
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Thesis -
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Analysis of evolutionary computing performance via mapreduce parallel processing architecture / Ahmad Firdaus Ahmad Fadzil
Published 2014“…MR is an emerging parallel processing framework that hides the complex parallelization processes by employing the functional abstraction of "map and reduce" The Performance of the parallelized GA via MR and PSO via MR are evaluated using an analogous case study to find out the speedup and efficiency in order to measure the scalability of both proposed algorithms. …”
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The evaluation of contentoriented XML document retrieval: a case study of official letter / Hayati Abd Rahman
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Research Reports -
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Simulated Kalman Filter algorithms for solving optimization problems
Published 2019“…The algorithms are evaluated using 30 benchmark functions of the CEC2014 benchmark suite, and then applied to solve PCB drill path optimization case study. …”
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Collaboration of integrative processes intermediaries supporting supply chain management
Published 2012“…The algorithms are an intermediary processes to provide semi automated assistance to the management team for tighter supply chain integration. …”
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Book Chapter -
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Hybrid multi-objective optimization methods for in silico biochemical system production
Published 2016“…The effectiveness of the proposed method was evaluated using two benchmark case studies. …”
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Online Programming Judge System (UOJ)
Published 2013“…In this research, details of judging process are explored. Moreover, the mechanism of test cases generation using PSO algorithm is deeply analyzed. …”
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Final Year Project -
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Profile measurement based on focus variation method for geometrical defect evaluation: a case study of cold forged propeller blade
Published 2014“…The profile was obtained with the use of InfiniteFocus Alicona 3D surface measurement system. Specific algorithms were developed for different cases as the evaluation of the features is discrete and the results were validated.…”
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Article -
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Enhancing three variants of harmony search algorithm for continuous optimization problems
Published 2021“…Harmony search (HS) is a recognized meta-heuristic algorithm with an efficient exploration process. But the HS has a slow convergence rate, which causes the algorithm to have a weak exploitation process in finding the global optima. …”
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Simulation of shortest path using a-star algorithm / Nurul Hani Nortaja
Published 2004“…It has been applied in many practical applications. For most of the cases of the shortest route finding, the Dijkstra's algorithm is known to be an optimal search algorithm. …”
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Development of sorting system for oil palm in vitro shoots using machine vision approach
Published 2014“…Furthermore, workable values of external variables and a customized sorter have been designed to test the system in real-time mode and to smooth the ejecting process. Ultimately, the sorting algorithm performance came to be evaluated by support vector machine algorithm. …”
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Deep Learning Based image segmentation for expensive soil desiccation crack recognition and qualification
Published 2025“…The objectives of the study included designing soil desiccation experiment setup for desiccation crack image acquisition, evaluating crack imaging analysis based on deep learning algorithms, and quantifying desiccation cracks through image processing techniques. …”
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Final Year Project / Dissertation / Thesis -
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An enhanced supplier selection model based on optimized analytic network process towards sustainable information technology outsourcing
Published 2022“…Essentially, ITO is a complex process in which selecting the right supplier involves evaluation of multi criteria. …”
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Computational dynamic support model for social support assignments around stressed individuals among graduate students
Published 2020“…The algorithm complexity analysis was used to measure the execution time in the worst case. …”
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Modern fuzzy min max neural networks for pattern classification
Published 2019“…To overcome the network structure complexity of MDFMM, a further improvement is introduced by improving the selection of the winning hyperbox during the expansion process using the k-nearest neighbours algorithm (MDFMM-Kn). …”
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Sequential and parallel multiple tabu search algorithm for multiobjective urban transit scheduling problems
Published 2018“…The major contribution of this research is to propose MTS method for solving UTSP in both sequential and parallel approach and it is shown that the algorithms are able to produce comparable results for most of the cases from literature and the computational times can be reduced significantly for more than 80% by the parallel execution. …”
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An evolutionary based features construction methods for data summarization approach
Published 2015“…In the process of summarizing relational data, a genetic algorithm is also applied and several feature scoring measures are evaluated in order to find the best set of relevant constructed features. …”
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