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Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
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Conference or Workshop Item -
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Performance evaluation of real-time multiprocessor scheduling algorithms
Published 2016“…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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3
Route Optimization System
Published 2005“…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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Final Year Project -
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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Article -
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New Complexity Weights for Function Point Analysis Using Artificial Neural Networks
Published 2004“…This thesis proposes new complexity weights for the function points measure by modifying the original complexity weights using artificial neural network algorithm. …”
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Thesis -
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Ant colony optimization algorithm for load balancing in grid computing
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Monograph -
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A block cipher based on genetic algorithm
Published 2016“…This complexity can be done by designing an algorithm that consists of substitution function and permutation function which provides confusion and diffusion properties. …”
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Thesis -
9
Transform of Artificial Immune System algorithm optimization based on mathematical test function
Published 2023Conference Paper -
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Global gbest guided-artificial bee colony algorithm for numerical function optimization
Published 2018“…Numerous computational algorithms are used to obtain a high performance in solving mathematics, engineering and statistical complexities. …”
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Article -
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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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Thesis -
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Modified anfis architecture with less computational complexities for classification problems
Published 2018“…Even though it has been widely used, ANFIS architecture still has a drawback of computational complexities. …”
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Thesis -
15
Dynamic determinant matrix-based block cipher algorithm
Published 2018“…This research also proposes a new method namely RotateSwapDeterminant function that uses rotation and swapping of the bit based on the 4x4 determinant computations and will act as the permutation layer in the DDBC algorithm. …”
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Thesis -
16
An improved artificial immune system based on antibody remainder method for mathematical function optimization
Published 2023“…Alternatively, Genetic Algorithms (GAs) and Particle Swarm Optimization (PSO) have been used efficiently in solving complex optimization problems, but they have a tendency to converge prematurely. …”
Conference paper -
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Development and applications of metaheuristic algorithms in engineering design and structural optimization / Ali Sadollah
Published 2013“…Metaheuristic algorithms have been extensively used in numerous domains especially in engineering. …”
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Thesis -
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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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Thesis -
19
Performance comparison of THF-NLFXLMS and VFXLMS algorithms for Hammerstein NANC
Published 2016“…Despite similar performance, this algorithm is more advantageous than the Nonlinear Filtered-X Least Mean Square (NLFXLMS) due to the use of tangential hyperbolic function (THF) instead of scaled error function (SEF) which allows the degree of nonlinearity to be modeled. …”
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Hybrid evolutionary optimization algorithms: A case study in manufacturing industry
Published 2014“…This membership function is applied for its useful performance through industrial production problems by employing hybrid evolutionary optimization algorithms. …”
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