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Successor selection for Ant Colony Optimization technique algorithm / Muhammad Iskandar Isman
Published 2017“…ACO algorithm is the best solution because it included the optimization technique to optimized the result based on the data criteria needs. …”
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A hybrid bat–swarm algorithm for optimizing dam and reservoir operation
Published 2019“…Recently, evolutionary algorithms (EA) are used to develop optimal operation rules for dam and reservoir water systems. …”
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An efficient cache replacement algorithm for minimizing the error rate in L2-STT-MRAM caches
Published 2017“…Cache replacement algorithms play a significant role in minimizing the error rate in write operations. …”
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Proceeding Paper -
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A computationally efficient P-LRU based optimal cache heap object replacement policy
Published 2017“…Therefore, a significant and thorough analysis is required to suggest a new optimal solution for optimizing the state-of-the-art cache replacement issues. …”
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Multi-objective optimization of stand-alone hybrid renewable energy system by genetic algorithm
Published 2013“…HOGA (Hybrid Optimization by Genetic Algorithms) is developed by Dr.Lopez from Zaragoza university in Spain. …”
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Optimization of fuzzy rules design using genetic algorithm
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Accelerated mine blast algorithm for ANFIS training for solving classification problems
Published 2016“…Mine Blast Algorithm (MBA) is newly developed metaheuristic technique. …”
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Data-driven continuous-time Hammerstein modeling with missing data using improved Archimedes optimization algorithm
Published 2024“…Across all experiments, the IAOA-based method demonstrated superior performance compared to AOA and other methods, including a hybrid approach combining the average multi-verse optimizer and sine cosine algorithm, particle swarm optimizer, the sine cosine algorithm, multi-verse optimizer and grey wolf optimizer. …”
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Integrating fuzzy logic and brute force algorithm in optimizing energy management systems for battery electric vehicles
Published 2023“…The limited driving range of BEVs is the main challenge in developing zero-emission Battery Electric Vehicles (BEVs) to replace traditional fuel-based vehicles. …”
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Integrating fuzzy logic and brute force algorithm in optimizing Energy Management Systems for Battery Electric Vehicles
Published 2024“…The limited driving range of BEVs is the main challenge in developing zero-emission Battery Electric Vehicles (BEVs) to replace traditional fuel-based vehicles. …”
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Investigation on pattern based Algorithm for division by a constant number using Verilog code for optimization on the Nelust results
Published 2015“…The research is to develop an algorithm of unsigned constant division via add-shift method using Verilog code. …”
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Research Report -
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Intelligent Optimization of Force Tracking Parameters for MR Damper Modelling using Firefly Algorithm
Published 2020“…To overcome this problem, an intelligent optimization method known as firefly algorithm (FA) was used by this study to optimize the force tracking controller (FTC) parameters as to achieve the exact damping force of MR damper system. …”
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Proceeding -
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Development of two matheuristics for production-inventory-distribution routing problem / Dicky Lim Teik Kyee
Published 2018“…The aim of solving the model is to construct a production plan and delivery schedule which minimizes the overall costs while fulfilling customers’ demand over the planning horizon. We propose an optimization algorithm designed by the interpolation of metaheuristics and mathematical programming techniques, known as MatHeuristics algorithm, to solve the model. …”
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Structural hybridization and economical optimization of strengthening systems used for concrete beams / Md. Moshiur Rahman
Published 2016“…In these models, an analytical approach was made with the help of the genetic algorithm optimization procedure to avoid time-consuming trial and error. …”
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Neural network algorithm development for Ion Sensitive Field Effect Transistor (ISFET) sensor / Muhammad Nasrul Hakim Adenan
Published 2013“…The ANN model performance can be optimized by altering certain parameters in the learning algorithm. …”
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Neural network algorithm development for Ion Sensitive Field Effect Transistor (ISFET) sensor: article / Muhammad Nasrul Hakim Adenan and Maizatul Zolkapli
Published 2013“…The ANN model performance can be optimized by altering certain parameters in the learning algorithm. …”
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Optimized differential evolution algorithm for linear frequency modulation radar signal denoising
Published 2013“…The main contention of this thesis is to investigate the development of new optimization technique based on Differential Evolution algorithm (DE), applied for radar signal denoising application. …”
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Efficient cache replacement policy for minimizing error rate in L2-STT-MRAM caches
Published 2018“…It can be seen that cache replacement algorithms play a significant part in minimizing the Error Rate (ER) induced by write operations. …”
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