Search Results - (( java segmentation using algorithm ) OR ( problem using generalized algorithm ))
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Image clustering comparison of two color segmentation techniques
Published 2010“…Finally, the algorithm found, which would solve the image segmentation problem.…”
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Automatic Number Plate Recognition on android platform: With some Java code excerpts
Published 2016“…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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Development of seven segment display recognition using TensorFlow on Raspberry Pi
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Application of genetic algorithm methods to optimize flowshop sequencing problem
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Comparison between ant colony and genetic algorithm using traveling salesman problem
Published 2013“…In ant colony algorithm each individual ant constructs a part of the solution using an artificial pheromone which reflects its experience accumulated while solving the problem and heuristic information dependent on the problem. …”
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Bees algorithm for Forest transportation planning optimization in Malaysia
Published 2021“…Algorithm is widely used in various areas due to its ability to solve classes of problems. …”
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Quantum Processing Framework And Hybrid Algorithms For Routing Problems
Published 2010“…The designed hybrid architecture and framework were tested using the above quantum algorithms and the existing quantum algorithms. …”
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New random approaches of modified adaptive bats sonar algorithm for reservoir operation optimization problems
Published 2024“…Generally, the average results indicates that the newly developed algorithm retrieved better than original MABSA in finding a minimum point which increment 5.833% better than original MABSA, and new algorithm retrieved 5.204% more better than global optimum value. …”
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A combinatorial optimization technique using genetic algorithm :a case study in machine layout problem
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Final Year Project Report / IMRAD -
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African Buffalo Optimization and the Randomized Insertion Algorithm for the Asymmetric Travelling Salesman’s Problems
Published 2016“…The choice of the Random Insertion Algorithm as a comparative algorithm was informed by our desire to investigate the general belief among the scientific community that Heuristics being mostly problem-dependent algorithms are more efficient that metaheuristics that are usually general-purpose algorithms. …”
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