Search Results - (( intelligence system drops algorithm ) OR ( intelligence _ modified algorithm ))
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Enhanced Intelligent Water Drops Algorithm for University Examination Timetabling Problems
Published 2024“…This thesis presents an investigation of using the Intelligent Water Drops (IWD) algorithm to construct and produce good quality solutions for the UETP. …”
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Intelligent examination timetabling system using hybrid intelligent water drops algorithm
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Intelligent Examination Timetabling System Using Hybrid Intelligent Water Drops Algorithm
Published 2024Proceedings Paper -
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Solving university examination timetabling problem using intelligent water drops algorithm
Published 2024Conference 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. …”
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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…”
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Bats echolocation-inspired algorithms for global optimisation problems
Published 2016“…The algorithm is a hybrid algorithm that operates using dual level search strategy that takes merits of a particle swarm optimisation algorithm and a modified adaptive bats sonar algorithm. …”
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Improved swarm intelligence algorithms with time-varying modified Sigmoid transfer function for Amphetamine-type stimulants drug classification
Published 2022“…Swarm-intelligence (SI) algorithms have received great attention in addressing various binary optimization problems such as feature selection. …”
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A Modified Hybrid Fuzzy Controller for Real-Time Mobile Robot Navigation
Published 2023Conference Paper -
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Inverse modeling of mass transferprocess in the RDC column by fuzzy approach
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Book Section -
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Hybrid artificial intelligent algorithm for call admission control in WCDMA mobile network
Published 2023Conference paper -
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Reference-point modified honey badger algorithm: Intelligent optimization for off-grid photovoltaic system / Nur Atharah Kamarzaman ... [et al.]
Published 2024“…To address the intricate balance between technical reliability and economic viability in off-grid photovoltaic (PV)-battery-diesel generator systems, particularly in regions without grid access, this study introduces the Reference-Point Modified Honey Badger Algorithm (RP-MHBA) as an innovative optimization methodology. …”
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Application of swarm intelligence optimization on bio-process problems / Mohamad Zihin Mohd Zain
Published 2018“…This modified algorithm called Modified Multi-Objective Particle Swarm Optimization (M-MOPSO) employs a fixed-sized external archive along with a dynamic boundary-based search mechanism to evolve the population. …”
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Binary whale optimization algorithm with logarithmic decreasing time-varying modified sigmoid transfer function for descriptor selection problem
Published 2023“…The suggested approach is compared to well-known swarm intelligence algorithms, and the results demonstrate its superiority.…”
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Integration of dual intelligent algorithms in shunt active power filter
Published 2013“…The effectiveness of the proposed dual intelligent algorithms is verified using Matlab/Simulink.…”
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Design and Implementation of Intelligent Interoperability Framework for Heterogeneous Subsystems in Smart Home Environment
Published 2011“…The third algorithm, named as Pro-Active Intelligence algorithm has inspired autonomous action triggering for each event interoperation, using a control action statement that is generated by SOAP packets required for joint execution of tasks among heterogeneous subsystems. …”
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