Search Results - (( program implementation selection algorithm ) OR ( does solution using algorithm ))
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Comparison between Lamarckian Evolution and Baldwin Evolution of neural network
Published 2006“…Baldwinian learning uses learning algorithm to change the fitness landscape, but the solution that is found is not encoded back into genetic string. …”
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Implementation of Color Filtering on FPGA
Published 2007“…Two band-pass-filter-like algorithms has been tested and implemented. The first is the single band-pass filter with threshold selected according to the International Commission on Illumination (CIE) values. …”
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Conference or Workshop Item -
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Overview of metaheuristic: classification of population and trajectory
Published 2010“…Algorithms are used to find the solutions through the computer program. …”
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Monograph -
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An Efficient Genetic Algorithm for Large Scale Vehicle Routing Problem Subject to Precedence Constraints
Published 2015“…In order to obtain feasible solution which does not violate precedence constraints, a route repair based topological sort technique is used and integrated in the genetic algorithm procedure. …”
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Implementation of color filtering on FPGA
Published 2007“…Two band-pass-filter-like algorithms has been tested and implemented. The first is the single band-pass filter with threshold selected according to the International Commission on Illumination (CIE) values. …”
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Conference or Workshop Item -
6
Case Slicing Technique for Feature Selection
Published 2004“…All these approaches are implemented with RELIEF feature selection approach. …”
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Thesis -
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Development of dynamic programming algorithm for maintenance scheduling problem
Published 2020“…Then, the data of the maintenance team from one of the utilities provider company in Malaysia was collected to be implemented in the development of a dynamic programming algorithm. …”
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Thesis -
10
Design optimization of valve timing at various engine speeds using Multi-Objective Genetic Algorithm (MOGA)
Published 2008“…Multi-objective Genetic Algorithms (MOGA) are an extension of Genetic Algorithms (GA) that does not require multiple objectives to be aggregated to one value. …”
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Proceeding Paper -
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Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation
Published 2023Conference paper -
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Optimization Of Two-Dimensional Dual Beam Scanning System Using Genetic Algorithms
Published 2008“…This algorithm has been tested and implemented successfully via a dual beam optical scanning system.…”
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Thesis -
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Intelligent agent for e-commerce using genetic algorithm / Kok Sun Sun
Published 2000“…This system is achieved using the Genetic Algorithm which is capable of performing information retrieval and learning algorithm. …”
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Thesis -
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Multi-population Genetic Algorithm for Rich Vehicle Routing Problems
Published 2020“…However, genetic algorithm is stochastic in nature and does not guarantee optimal solution in an application all the time, a problem referred to as premature convergence in literature. …”
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Final Year Project -
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Adopting Jaya Algorithm for Team Formation Problem
Published 2020“…To evaluate the efficiency of the Jaya Algorithm (JA) against another metaheuristic algorithm, Sine-Cosine Algorithm (SCA), both algorithms are tested and assessed for the TF problem solution using an ACM dataset containing experts and their skills. …”
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Conference or Workshop Item -
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Vehicle routing problem with pick-up and delivery using genetic algorithm / Muhammad Shahfiq Zazali and Wan Muhamad Nasrin Aiman Mat Soti
Published 2022“…The most optimal solution for the data used is 233641.009 calculated using a software that uses the Ruin and Recreate principle. …”
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Student Project -
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Logic Programming In Radial Basis Function Neural Networks
Published 2013“…The analysis revealed that performance of particle swarm optimization algorithm and Prey predator algorithm are better to use in training the networks. …”
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Thesis -
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An enhanced swap sequence-based particle swarm optimization algorithm to solve TSP
Published 2021“…Among them, the basic algorithm is the Swap Sequence based PSO (SSPSO), however, it does not perform well in providing high quality solutions. …”
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…The simulation is implemented with iFogSim and java programming language. …”
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