Search Results - adaptive affect different ((optimization algorithm) OR (pollination algorithm))*
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Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection
Published 2020“…In addition, ISSA was compared with four well-known optimization algorithms such as Genetic Algorithm, Particle Swarm Optimization, Grasshopper Optimization Algorithm, and Ant Lion Optimizer. …”
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Adaptive and optimized radio resource allocation algorithms for OFDMA based networks
Published 2015“…Thus, in this thesis, an adaptive and optimized radio resource allocation algorithm (AORAA) with cross-layer mechanism is proposed. …”
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Sensitivity analysis of drill wear and optimization using Adaptive Neuro fuzzy –genetic algorithm technique toward sustainable machining
Published 2018“…Effects of spindle rotational speed, feed rate and diameter of drill on tool wear were determined through Adaptive Neuro Fuzzy Inference System (ANFIS). Next, genetic algorithm (GA) was used to identify the optimal drilling parameter for different diameters of drill. …”
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Optimized adaptive neuro-fuzzy inference system using metaheuristic algorithms: Application of shield tunnelling ground surface settlement prediction
Published 2021“…The predictive models were various nature-inspired frameworks, such as differential evolution (DE), particle swarm optimization (PSO), genetic algorithm (GA), and ant colony optimizer (ACO) to tune the adaptive neuro-fuzzy inference system (ANFIS). …”
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Affect classification using genetic-optimized ensembles of fuzzy ARTMAPs
Published 2015“…Training neural networks in distinguishing different emotions from physiological signals frequently involves fuzzy definitions of each affective state. …”
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Novel Adaptive Bacterial Foraging Algorithms for Global Optimisation with Application to Modelling of a TRS
Published 2015“…In this paper, adaptive bacterial foraging algorithms and their application to solve real world problems is presented. …”
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Optimization and prediction of battery electric vehicle driving range using adaptive fuzzy technique
Published 2022“…The work in this thesis is expected to be the best approach in formulating an adaptive fuzzy technique based on brute force and regression algorithms for optimization and prediction of EMS in BEV application.…”
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A hybrid sampling-based path planning algorithm for mobile robot navigation in unknown environments
Published 2013“…There are a variety of algorithms in this class with different objectives, advantages and drawbacks. …”
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Fair bandwidth distribution marking and scheduling algorithm in network traffic classification
Published 2019“…This algorithm depends on the adaptability of the concept in the ITSWTCM, I2TSWTCM and M2I2TSWTCM algorithms for affecting the fairness and multiple protocols. …”
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Genetic fuzzy scheduler for spectrum sensing in cognitive radio networks
Published 2012“…Therefore, Genetic Algorithm (GA) is used to give the proposed FIS scheduler the ability to evolve and adapt to new environment conditions. …”
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Simulated real-time controller for tuning algorithm using modified hill climbing approach
Published 2014“…Often, it is necessary to calibrate a certain parameters of a control system due to plant parameters fluctuation over time.In this research, an intelligent algorithmic tuning technique suitable for realtime system tuning based on hill climbing optimization algorithm and model reference adaptive control system (MRAC) technique is proposed. …”
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Modeling flood occurences using soft computing technique in southern strip of Caspian Sea Watershed
Published 2012“…The application of FES optimized by GA on regionalization creates opportunities for further researches which utilizes different types of optimization like Ant Colony Optimization (ACO), ANN’s, Particle Swarm Optimization (PSO) and Imperialist Competitive Algorithm (ICA).…”
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Short Text Classification Using An Enhanced Term Weighting Scheme And Filter-Wrapper Feature Selection
Published 2018“…In the second stage, grey wolf optimization (GWO) algorithm, a new heuristic search algorithm, uses the SVM accuracy as a fitness function to find the optimal subset feature.…”
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The use of heuristic ordering and particle swarm optimization for nurse scheduling problem
Published 2017“…The capability of PSO algorithm is enhanced by emphasizing the use of information on the constraints and heuristic ordering for searching optimal solution in both the feasible and infeasible solution spaces. …”
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Precision agriculture for corn using reinforcement learning
Published 2024“…RACKY helps people make better farming decisions by showing them how different amounts of fertilizer and water affect plant growth through real-time simulations and detailed analysis. …”
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Final Year Project / Dissertation / Thesis -
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Precision agriculture for corn using reinforcement learning
Published 2024“…RACKY helps people make better farming decisions by showing them how different amounts of fertilizer and water affect plant growth through real-time simulations and detailed analysis. …”
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