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1
Modification of particle swarm optimization algorithm for optimization of discrete values
Published 2011“…We propose a novel modification to the PSO algorithm to perform rapid discrete optimization. The proposed Discrete-PSO method (DPSO) uses a rescaling equation to convert the continuous-valued positions into discrete-valued variables. …”
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Research Reports -
2
Cuckoo search algorithm and wind driven optimization based study of satellite image segmentation for multilevel thresholding using Kapur’s entropy
Published 2014“…A new approach of CS and WDO algorithm is used for selection of optimal threshold value. …”
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3
Optimization of fast fourier transform based on twiddle factor using genetic algorithm on raspberry pi
Published 2019“…The proposed work was done successfully in optimizing the FFT by using SOGA to lower the word length until 12 bits and obtaining a SNR value of 66.452dB which resulted in an improvement of 5.47% for SNR, also, the optimization for the FFT was done successfully by using MOGA to lower the word length until 12 bits and obtaining a SNR value of 65.65dB which resulted in an improvement of 5.47% for SNR and a SA value of 134 which resulted in reduction to SA by 30.2%.…”
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Thesis -
4
Design of radix-4 single path delay fast fourier transform processor with genetic algorithms optimization
Published 2011“…In this research, the Genetic Algorithms (GA) is used to optimize the word length of FFT coefficients to maintain the SNR value and reduce the SA at the same time. …”
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5
Optimization of multi-holes drilling path using particle swarm optimization
Published 2018“…PSO is also compared with another algorithm like Whale Optimization Algorithm, Ant Lion Optimizer, Dragonfly Algorithm, Grasshopper Optimization Algorithm, Moth-flame Optimization and Sine Cosine Algorithm. …”
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Book Chapter -
6
Optimal Location And Sizing Of Distrubuted Generator Using PSO And GA Algorithms In Power Systems
Published 2019“…In fact, there are several algorithms used for optimizing the size and finding the best location to install DG units in the power system. …”
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7
An improved artificial bee colony algorithm for training multilayer perceptron in time series prediction
Published 2014“…Most of the training algorithms focus on weight values, activation functions, and network structures for providing optimal outputs. …”
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8
Enhanced genetic algorithm optimization model for a single reservoir operation based on hydropower generation: case study of Mosul reservoir, northern Iraq
Published 2016“…In this case, the optimal values obtained from the GAOM were compared, firstly with their counterpart that found using the same algorithm without taking into consideration of Ev and Pr, secondly with the observed values. …”
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Article -
9
Effectiveness of Nature-Inspired Algorithms using ANFIS for Blade Design Optimization and Wind Turbine Efficiency
Published 2019“…It was found that the optimized blade design parameters were obtained using an ABC algorithm with the maximum value power coefficient higher than ACO and PSO. …”
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10
Effectiveness of nature-inspired algorithms using ANFIS for blade design optimization and wind turbine efficiency
Published 2019“…It was found that the optimized blade design parameters were obtained using an ABC algorithm with the maximum value power coefficient higher than ACO and PSO. …”
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Hybrid of firefly algorithm and pattern search for solving optimization problems
Published 2018“…The pattern search is an optimization algorithm that further optimizes the values obtained in the maximum iterations of standard FA. …”
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12
Ant colony optimization algorithm for load balancing in grid computing
Published 2012“…The proposed algorithm is known as the enhance ant colony optimization (EACO). …”
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Monograph -
13
An improved method using fuzzy system based on hybrid boahs for phishing attack detection
Published 2022“…The algorithms involved were Genetic Algorithm, Differential Evolution Algorithm, Particle Swarm Optimization, Butterfly Optimization Algorithm, Teaching-Learning-Based Optimization Algorithm, Harmony Search Algorithm and Gravitational Search Algorithm. …”
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14
Optimization of fast fourier transform processor using genetic algorithm on Raspberry Pi
Published 2019“…This paper revolves around the 16-point Radix-4 Single Path Delay Feedback (R4SDF) for optimizing the pipelined Fast Fourier Transform (FFT) processor, which can be done by using both Single Objective Genetic Algorithm (SOGA) and Multi-Objective Genetic Algorithm (MOGA), Signal to Noise Ratio (SNR) value which depends on the word length of the FFT processor, higher word length value of the FFT processor will result in a higher value for the SNR, Thus, this research aims to reduce the power consumption of the FFT processor by lowering the word length of Twiddle Factor for the FFT by using a SOGA to find the optimum results for SNR values while MOGA is set to find the optimum values for both SNR and SA while lowering the Word Length. …”
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Investigating dam reservoir operation optimization using metaheuristic algorithms
Published 2023Article -
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Optimization of multipurpose reservoir operation using evolutionary algorithms / Mohammed Heydari
Published 2017“…An improved particle swarm algorithm (HPSOGA) is used to solve complex problems of water resources optimization. …”
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Thesis -
17
Neural network modeling and optimization for spray-drying coconut milk using genetic algorithm and particle swarm optimization
Published 2022“…The ANN model is further improved using GA and PSO. Each algorithm has its own parameters and is further optimized using RSM. …”
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18
Single-objective and multi-objective optimization algorithms based on sperm fertilization procedure / Hisham Ahmad Theeb Shehadeh
Published 2018“…In this work, Single Objective Optimization Algorithm (SOOA) is proposed. The SOOA version is extended to Multi Objective Optimization Algorithm (MOOA). …”
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Thesis -
19
Improving ant swarm optimization with embedded vaccination for optimum reducts generation
Published 2013“…This paper proposes a hybrid ant swarm optimization algorithm by using immunity to discover better fitness value in optimizing rough reducts set. …”
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