Search Results - optimal ((drops algorithm) OR (((_ algorithm) OR (based algorithm))))
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1
Solving university examination timetabling problem using intelligent water drops algorithm
Published 2024Subjects: “…Intelligent water drops algorithm…”
Conference Paper -
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Intelligent Examination Timetabling System Using Hybrid Intelligent Water Drops Algorithm
Published 2024Subjects:Proceedings Paper -
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Modified And Ensemble Intelligent Water Drop Algorithms And Their Applications
Published 2015“…The Intelligent Water Drop (IWD) algorithm is a swarm-based model that is useful for undertaking optimization problems. …”
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Thesis -
4
Hybrid Improved Bacterial Swarm Optimization Algorithm for Hand-Based Multimodal Biometric Authentication System
Published 2019“…The hybridization of the algorithm was conducted by incorporating Bacterial Foraging Optimization (BFO) and Particle Swarm Optimization (PSO) algorithm to mitigate weaknesses in slow and premature convergence. …”
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Article -
5
Hybrid Intelligent Water Drops Algorithm For Examination Timetabling Problem
Published 2024Subjects: “…Examination Time table, Intelligent Water Drops algorithm, Metaheuristic, Locale search algorithm, Optimization…”
Article -
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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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Thesis -
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Enhanced Intelligent Water Drops Algorithm for University Examination Timetabling Problems
Published 2024“…The main motivations for investigating IWD algorithm are: (i) IWD has been successfully employed to solve many optimization problems. …”
thesis::doctoral thesis -
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Congestion management based optimization technique using bee colony
Published 2023Subjects:Conference Paper -
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Solving University Examination Timetabling Problem Using Intelligent Water Drops Algorithm
Published 2024“…IWD is a recent metaheuristic population-based algorithm belonging to swarm intelligent category which simulate river system. …”
Proceedings Paper -
10
Hybrid model to improve the river streamflow forecasting utilizing multi-layer perceptron-based intelligent water drop optimization algorithm
Published 2023“…Complex networks; Drops; Forecasting; Iterative methods; Network architecture; Network layers; Optimization; Rivers; Stochastic models; Stochastic systems; Stream flow; Time series; Engineering applications; Gradient-decent algorithm; Intelligent Water Drops (IWD); Multi layer perceptron; Multi-layer perceptron neural networks; Optimization algorithms; Streamflow forecasting; Time series prediction; Multilayer neural networks…”
Article -
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Optimization of electrical wiring design in buildings using particle swarm optimization and genetic algorithm / Tuan Ahmad Fauzi Tuan Abdullah
Published 2017“…In this project, the main objective is to optimize the electrical distribution system design in buildings using optimization methods, which are Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). …”
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12
Optimized topology control in mobile IP networks using a new parametric routing algorithm
Published 2018“…For this purpose, an Optimal Parametric Topology Control Routing (OPTCR) algorithm is introduced based on parametric linear programming formulation (LPF). …”
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Experimental implementation controlled SPWM inverter based harmony search algorithm
Published 2023“…C (programming language); Controllers; Electric inverters; Errors; Learning algorithms; MATLAB; Particle swarm optimization (PSO); Pulse width modulation; Voltage control; And transient response; C code for the sine PWM; C++ codes; Ezdsp f28335 board; Harmony search algorithm; Harmony search algorithms; Mean absolute error; Pulse width modulation inverters; Sinusoidal pulsewidth modulations (SPWM); Transient analysis…”
Article -
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Fair bandwidth distribution marking and scheduling algorithm in network traffic classification
Published 2019“…Finally, propose a new method of obtaining optimal parameters dropping functions for Random Early Detection (RED) algorithm. …”
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15
Towards enhanced remaining useful life prediction of lithium-ion batteries with uncertainty using optimized deep learning algorithm
Published 2025Subjects:Article -
16
Mathematical modelling of mass transfer in a multi-stage rotating disc contactor column
Published 2005“…This derivation initiated the formulation of the modified quadratic driving force, called Time-dependent Quadratic Driving Force (TQDF). Based on this formulation, a Mass Transfer of A Single Drop (MTASD) Algorithm was designed, followed by a more realistic Mass Transfer of Multiple Drops (MTMD) Algorithm which was later refined to become another algorithm named the Mass Transfer Steady State (MTSS) Algorithm. …”
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17
Data dissemination in VANETs using clustering and probabilistic forwarding based on adaptive jumping multi-objective firefly optimization
Published 2022“…This developed multi-objective optimization was designated as adaptive jumping multi-objective firefly algorithm (AJ-MOFA). …”
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18
Experimental implementation controlled SPWM inverter based harmony search algorithm
Published 2017“…Based on the output results, the proposed voltage controller using HS algorithm based PI (HS-PI) showed that the inverter output performance is improved in terms of voltage amplitude, robustness, and convergence rate speed as compared to PSO algorithm based PI (PSO-PI). …”
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Article -
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Dijkstra’s Algorithm for optimal recyclable waste collection system in Port Dickson / Nur Jazlina Mohd Iszairi, Aina Zulaika Md Ramli and Nursabrina Saifulbahri
Published 2023“…The data are collected from Google Map and are applied in Excel Solver using the Dijkstra’s Algorithm. Based on the simulation conducted, the results show the optimal route for the recyclable waste collection with minimum travel distance where the travel distance from Depot to C13 is 2386 meters, from C13 to D42 is 2555 meters and from D42 back to the Depot is 2407 meters. …”
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Student Project -
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Efficient radio resource management algorithms for downlink long term evolution networks
Published 2018“…The algorithm is based on the idea of the optimization problem in which resource allocation problem is formulated as an optimization problem. …”
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