Search Results - (( developing line efficient algorithm ) OR ( java optimization technique algorithm ))
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Optimization of assembly line balancing with energy efficiency by using tiki-taka algorithm
Published 2023“…In the modeling phase, all the ALB-EE optimization objectives are presented in a mathematical form to earn line efficiency and energy utilization. Then, the TTA is developed before undergoing functionality tests by benchmarking with Particle Swarm Optimization (PSO), Grey Wolf Optimization (GWO), Genetic Algorithm (GA), and Whale Optimization Algorithm (WOA). …”
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Enhancing efficiency of automobile assembly line using the Fuzzy logical and Multi-objective Genetic Algorithm
Published 2012“…The Fuzzy Logical Control (FLC) organizes an application of the MOGA to solve the Assembly Line Unbalancing (ALB). The new technique in this study is use to develop the efficiency of the assembly line and to solve the unbalancing problem among stations. …”
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Computer Lab Timetabling Using Genetic Algorithm Case Study - Unit ICT
Published 2006“…Genetic Algorithm is one of the most popular optimization solutions used in various applications such as scheduling. …”
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Development of a Tuneable Test Problem Generator for Assembly Sequence Planning and Assembly Line Balancing
Published 2012“…Numerous research works in assembly sequence planning and assembly line balancing mainly focus on developing algorithms to solve problems and to optimise assembly sequence planning and assembly line balancing. …”
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Hybrid genetic algorithm for improving fault localization
Published 2018“…Genetic algorithm (GA) is well known in finding an optimal solution to a problem while local search is capable of removing duplication. …”
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Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
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Examination timetabling using genetic algorithm case study: KUiTTHO
Published 2005“…Genetic Algorithm (GA) is one of the most popular optimization solutions. …”
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Scalable approach for mining association rules from structured XML data
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An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…Recently, various techniques based on different algorithms have been developed. …”
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Path planning for unmanned aerial vehicles using visibility line-based methods
Published 2011“…The proposed 2D path planning algorithms, on the contrary, select a relatively smaller number of vertices using the so-called base line (BL), thus they are computationally efficient. …”
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Examination Timetabling Using Genetic Algorithm Case Study : KUiTTHO
Published 2005“…Genetic Algorithm (GA) is one of the most popular optimization solutions. …”
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Multi-objective optimisation of assembly line balancing type-e problem with resource constraints
Published 2016“…Apart from that, the percentage of line efficiency improved from 33.8% to 78.4%. These results indicated that the developed methodology and the proposed algorithm can reduce the utilisation of resources, workstations and cycle time. …”
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Improving Class Timetabling using Genetic Algorithm
Published 2006“…We have targeted the research on class timetabling problem. Hence, Genetic Algorithm (GA) is used as one of the most popular optimization solutions. …”
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Review on bio-inspired algorithms approach to solve assembly line balancing problem
Published 2019“…The results obtained form their research have clearly portrayed the robustness of bio-inspired algorithms to solve complex problems. This paper highlights the efficiencies of bio-inspired algoritms implemented in solving assembly line balancing problem. …”
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Autonomous Positioning Of Unmanned Aerial Vehicle (UAV) For Power Lines Insulator Detection
Published 2024“…The machine learning algorithms are utilised to identify and calculate the length of power line insulators. …”
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Fuzzy Mixed Assembly Line Sequencing and Scheduling Optimization Model Using Multiobjective Dynamic Fuzzy GA
Published 2014“…The simulation results highlight that the performance and efficacy of the proposed novel optimization algorithm are more efficient than the performance of the standard genetic algorithm in mixed assembly line sequencing model.…”
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Semi-automatic cortical boundary detection / Noor Elaiza Abdul Khalid.
Published 2010“…LPHA proves to be an efficient edge detector evaluation algorithm and FPSO is proven to be an effective edge detection algorithm.…”
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