Search Results - (( developing formative testing algorithm ) OR ( based application optimization algorithm ))
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Improvement and application of particle swarm optimization algorithm
Published 2025“…This method combines CPTD with the Genetic Algorithm and PSO (GAPSO), resulting in an effective strategy for dynamic formation reconfiguration and path optimization. …”
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Conjunctions in biological neural architectures for visual pose estimation / Tom´As Maul
Published 2006“…Following this, at the formational level, various local mechanisms are investigated in the context of the biological development of the proposed neural architectures. …”
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Modular deep neural network in reducing overfitting to enhance generalization / Mohd Razif Shamsuddin
Published 2024“…In the first phase, the NN is tested with two different data formatting to ensure which data format is more suitable for the next consecutive experiments. …”
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4
Development of an integrated model for production planning and cell formation in cellular manufacturing systems
Published 2010“…One of the most important design steps is the formation of part families and machine cells or cell formation problem (CF), another problem is “how to determine the optimal quantities of different part-types” or in the other word production planning problem in CMS. …”
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Development of Fluid Properties Correlation For Malaysian Crude
Published 2013“…There are three characteristic that will be developed in this project, those are bubble point pressure, solution gas oil ratio and oil formation volume factor. …”
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Final Year Project -
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Robust tweets classification using arithmetic optimization with deep learning for sustainable urban living
Published 2024“…In this view, this research develops an arithmetic optimization algorithm with deep learning based tweets classification (AOADL-TC) approach for sustainable living. …”
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An integrated algorithm of analytical network process with case-based reasoning to support the selection of an ideal football team formation and players
Published 2021“…In order to demonstrate the feasibility of the algorithm, the engine was tested in the real application of football team management. …”
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Interactive jigsaw puzzle using backtracking algorithm / Amizah Mohd Kamaruzaman
Published 2012“…The developed jigsaw puzzle was then tested to see the effectiveness ofthe Backtracking algorithm. …”
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Rule-Based Multi-State Gravitational Search Algorithm for Discrete Optimization Problem
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Auto-formation group chat for fitness application with rule-based / Amar Aslam Ramli
Published 2018“…Based on the testing result, it can be conclude that this project has successfully developed FitwithTrainer website and android mobile application system. …”
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Simulated Kalman Filter algorithms for solving optimization problems
Published 2019“…Applications and improvements to the HKA algorithm suggest that optimization algorithm based on estimation principle has a huge potential in solving a wide variety of optimization problems. …”
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13
Hybrid firefly and particle swarm optimization algorithm for multi-objective optimal power flow with distributed generation
Published 2022“…Finally, a crowding distance and non-dominated-sorting-based multi-objective hybrid firefly & particle swarm optimization (MOHFPSO) algorithm is designed for MOOPF problems. …”
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14
Opposition-based spiral dynamic algorithm with an application to optimize type-2 fuzzy control for an inverted pendulum system
Published 2022“…Spiral Dynamic Algorithm (SDA) is a group-based optimization algorithm formulated based on the concept of a natural spiral phenomenon on earth. …”
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Simulated Kalman Filter: A Novel Estimation-based Metaheuristic Optimization Algorithm
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An enhanced swap sequence-based particle swarm optimization algorithm to solve TSP
Published 2021“…To evaluate the proposed algorithm, the solutions to the TSP problem obtained from the proposed algorithm and swap sequence based PSO are compared in terms of the best solution, mean solution, and time taken to converge to the optimal solution. …”
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Therefore, in this paper, we proposed Dynamic tasks scheduling algorithm based on attribute reduction with an enhanced hybrid Genetic Algorithm and Particle Swarm Optimization for optimal device selection. …”
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A Chaotic Teaching Learning Based Optimization Algorithm for Optimization Emergency Flood Evacuation Routing
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Optimal power flow based on fuzzy linear programming and modified Jaya algorithms
Published 2017“…In the proposed novel QOJaya algorithm, an intelligence strategy, namely, quasi-oppositional based learning (QOBL) is incorporated into the basic Jaya algorithm to enhance its convergence speed and solution optimality. …”
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