Search Results - optimal ((((lbs algorithm) OR (based algorithm))) OR (((llc algorithm) OR (_ algorithm))))
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Performance Comparison of FA, PSO and CS application in SINR Optimisation for LCMV Beamforming Technique
Published 2023“…Beamforming; Bioluminescence; Fire protection; MATLAB; Signal interference; Spurious signal noise; Beamforming technique; Firefly algorithms; LCMV; Meta heuristic algorithm; Nature inspired algorithms; Optimisations; Particle swarm optimisation; Performance comparison; Particle swarm optimization (PSO)…”
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Improved whale optimization algorithm for feature selection in Arabic sentiment analysis
Published 2019“…In SA, feature selection phase is an important phase for machine learning classifiers specifically when the datasets used in training is huge. Whale Optimization Algorithm (WOA) is one of the recent metaheuristic optimization algorithm that mimics the whale hunting mechanism. …”
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Energy management strategies, control systems, and artificial intelligence-based algorithms development for hydrogen fuel cell-powered vehicles: A review
Published 2025“…EMS strategies; AI-based algorithms categories, functions and hybridization; the state-of-art and future direction of AI-based algorithms and HFCEVs? …”
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A swarm-based artificial immune system for solving multimodal functions
Published 2023Subjects:Article -
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Evaluation of dynamic programming among the existing stereo matching algorithms
Published 2015“…The dynamic programming algorithm used on this research is the current method as its disparity estimates at a particular pixel and all the other pixels unlike the old methods which with scanline based of dynamic programming. …”
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Adopting Centroid and Amended Trilateration for better accuracy of range-based non-GPS localization
Published 2023Conference Paper -
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Voltage Regulation Planning Based on Optimal Grid-Connected Renewable Energy Allocation Using Nature-Inspired Algorithms to Reduce Switching Cycles of On-Load Tap Changing Transformer
Published 2023“…Initially, a framework is proposed to optimize the location and size of renewable power generation using a multi-objective cuckoo search optimization algorithm. …”
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Efficient Time-Varying q-Parameter Design for q-Incremental Least Mean Square Algorithm with Noisy Links
Published 2022“…Motivated by this fact, a quantum calculus-based noisy links incremental least mean squares (NL-qILMS) algorithm is proposed. …”
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Determining optimum carob powder adsorbtion for cleaning wastewater: intelligent optimization with electro-search algorithm
Published 2020“…The maximum adsorption value was determined as around 256.44Â mg/g thanks to the Electro-Search Algorithm, a recent Artificial Intelligence based intelligent optimization technique. …”
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The application of firefly algorithm in an adaptive emergency evacuation centre management (AEECM) for dynamic relocation of flood victims
Published 2016“…This study undergoes two main phases; development of algorithm and models, and development of a web-based and mobile app.The proposed model operates using Firefly multi-objective optimization algorithm that creates an optimal schedule for the relocation of victims and resources for an evacuation centre.The proposed decision aid model and the adaptive system can be applied in supporting the National Security Council’s respond mechanisms for handling disaster management level II (State level) especially in providing better management of the flood evacuating centres.…”
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Modelling of Assembly Sequence Planning Problem using Base Part Concept
Published 2018“…Recently, various research works have been done to optimize the ASP problem using different optimization algorithms. …”
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A Novel HGBBDSA-CTI Approach for Subcarrier Allocation in Heterogeneous Network
Published 2023“…Complex networks; Computational complexity; Genetic algorithms; Heterogeneous networks; Mobile telecommunication systems; Multiple access interference; Orthogonal frequency division multiplexing; Particle swarm optimization (PSO); Throughput; Co-tier interferences; Customer premises equipment; Dynamic subcarrier allocations; Heterogeneous Network (HetNet); Orthogonal frequency division multiple access; Resource optimization; Sub-carrier allocation; System performance degradation; Frequency division multiple access…”
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A Comparative Study on Optimal Design of LLC Resonant Converter by Intelligent Optimization Techniques
Published 2011“…Three evolutionary optimization techniques viz., Scatter Search (SS), Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) are employed to derive the optimal control parameters of the resonant converter and the results obtained are compared in terms of efficiency. …”
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Nature-inspired meta-heuristics approaches for charging plug-in hybrid electric vehicle
Published 2020“…In this study, four swarm intelligence based optimization techniques: particle swarm optimization (PSO), gravitational search algorithm (GSA), accelerated particle swarm optimization, and hybrid version of PSO and GSA (PSOGSA) have been applied for the state-of-charge optimization of PHEVs. …”
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Nature-inspired meta-heuristics approaches for charging plug-in hybrid electric vehicle
Published 2020“…In this study, four swarm intelligence based optimization techniques: particle swarm optimization (PSO), gravitational search algorithm (GSA), accelerated particle swarm optimization, and hybrid version of PSO and GSA (PSOGSA) have been applied for the state-of-charge optimization of PHEVs. …”
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A genetic algorithm for solving supply chain network design model
Published 2013“…Computational results are presented to show the algorithm performance.…”
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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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DeMI interface tool for profit estimation and waste conversion technology recommendations in enhancing municipal solid waste management
Published 2024“…Leveraging the accelerated branch-and-bound algorithm, the P-graph efficiently generates optimal structures capable of accommodating diverse complexities, thus ensuring adaptability in synthesising process configurations. …”
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