Search Results - (( _ application swarm algorithm ) OR ( its application need algorithm ))
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A multi-objective particle swarm optimization algorithm based on dynamic boundary search for constrained optimization
Published 2018“…Hence, more difficult benchmark problems must be utilized to validate new algorithms performance. A well-known optimizer, Multi-Objective Particle Swarm Optimizer (MOPSO), has a few weakness that needs to be addressed, specifically its convergence in high dimensional problems and its constraints handling capability. …”
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Modelling and Optimization of Asymmetric Vehicle Routing Problem Using Particle Swarm Optimization Algorithm
Published 2021“…Finally, this study shows that the algorithm can significantly reduce travel costs via number of bus needed to serve all the stop points.…”
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Performance evaluation of PID controller optimisation for wheel mobile robot using Bat based optimisation algorithm
Published 2022“…The performance of these algorithms will be compared with a well-known optimization algorithm, Particle Swarm Optimization (PSO). …”
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University class timetable tool
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Synchronous gravitational search algorithm vs asynchronous gravitational search algorithm: a statistical analysis
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Exploring energy charging problem in swarm robotic systems using foraging simulation
Published 2015“…Swarm robotic systems is still a new field of study, and exploration of its applications and making use of its advantages can open the door for more research on this field in the near future. …”
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A review of training methods of ANFIS for applications in business and economic
Published 2016“…Mostly Particle Swarm Optimization (PSO) and its variants have been applied for training approaches used. …”
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Task scheduling in cloud computing environment using hybrid genetic algorithm and bat algorithm
Published 2022“…Genetic algorithm was widely used because of its accuracy and simplicity. …”
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Academic Exercise -
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A review of training methods of ANFIS for applications in business and economics
Published 2016“…Mostly Particle Swarm Optimization (PSO) and its variants have been applied for training approaches used. …”
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PID controller design for mobile robot using Bat Algorithm with Mutation (BAM)
Published 2019“…This algorithm is compared with a wellknown optimization algorithm, Particle Swarm Optimization (PSO). …”
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Conference or Workshop Item -
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Optimized range-free localization scheme using autonomous groups particles swarm optimization for anisotropic wireless sensor networks
Published 2023“…However, it demonstrated extremely poor accuracy under anisotropic networks, which is an urgent problem that need to be addressed. Accordingly, an optimized DV-Hop localization algorithm is put forward in this study with considering several anisotropic factors. …”
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Reactive memory model for ant colony optimization and its application to TSP
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Proportional-integral control optimization using imperialist competitive algorithm
Published 2012“…In this dissertation, an attempt has been made to design and implement the PID Controllers by employing the Imperialist Competitive Algorithm (ICA) technique as well as the Genetic Algorithm (GA) and the Particle Swarm Optimization (PSO) algorithm, for a selected plant. …”
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Thesis -
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Improvement of fuzzy neural network using mine blast algorithm for classification of Malaysian Small Medium Enterprises based on strength
Published 2015“…Mine Blast Algorithm (MBA) which has been improved by Improved MBA (IMBA) can be further improved by modifying its exploitation phase. …”
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Thesis -
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Optimization of multi-holes drilling toolpath using tiki-taka algorithm
Published 2024“…A computational experiment was conducted on 12 test problems across small, medium, and large problem categories using the TTA, then compared with Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Crayfish Optimization Algorithm (COA), and Geometric Mean Optimizer (GMO). …”
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Thesis -
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Differential evolution for neural networks learning enhancement
Published 2008“…These algorithms can be used successfully in many applications requiring the optimization of a certain multi-dimensional function. …”
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Thesis -
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