Search Results - (( evolution utilization research algorithm ) OR ( java application learning algorithm ))
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Special protection and control scheme based on generation rescheduling using differential evolution and electromagnetism-like algorithm
Published 2016“…The main objective of this research is designing a Special Protection and Control Scheme (SPCS) based on a hybrid approach of combining Differential Evolution (DE) and Electromagnetism-Like algorithms. …”
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Channel-aware downlink scheduling for quality of service in long term evolution network
Published 2018“…The emphasis of this research is on the radio resource scheduling of LTE downlink. …”
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Efficient radio resource management algorithms for downlink long term evolution networks
Published 2018“…Thus, we proposed a call admission control algorithm that admits users to utilize available resources. …”
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An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
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A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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Performances Of Metaheuristic Algorithms In Optimizing Tool Capacity Allocations
Published 2014“…In this research, the algorithms studied includes Genetic Algorithm, Particle Swarm Optimization Algorithm, Differential Evolution Algorithm, Harmony Search Algorithm, Teaching-LearningBased Optimization Algorithm and Black Hole Algorithm. …”
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HEAT EXCHANGER NETWORK SYNTHESIS AND OPTIMIZATION BY PINCH ANALYSIS AND DIFFERENTIAL EVOLUTION METHOD
Published 2016“…This metadology way uses an algorithm which combines Pinch Design Method and Differential Evolution Method. …”
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Design, optimization and fabrication of a climbing six articulated-wheeled robot using artificial evolution and 3D printing
Published 2015“…In this research, an artificial evolution approach utilizing Single-Objective Evolutionary Algorithm (SOEA) and Multi-Objective Evolutionary Algorithm (MOEA) respectively are investigated in the automatic design and optimization of the morphology of a Six Articulated-Wheeled Robot (SAWR) with climbing ability. …”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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An FPGA implementation of exp-bet scheduling algorithm in LTE networks / Yusmardiah Yusuf
Published 2017“…Since the implementation of scheduling algorithm is an open issue in LTE, many packet scheduling algorithms have been proposed by researchers. …”
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Dual optimization approach in discrete Hopfield neural network
Published 2024“…Therefore, this research contributes to the improvement of the learning and retrieval phases by integrating the Hybrid Differential Evolution Algorithm and Swarm Mutation respectively. …”
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The exploration of hybrid metaheuristics-based approaches: A bibliometric analysis
Published 2025“…The rapid evolution of computational intelligence has driven significant interest in hybrid metaheuristics, which combine multiple optimization algorithms to solve complicated problems more efficiently. …”
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A review on object detection algorithms based deep learning methods / Wan Xing ... [et al.]
Published 2023“…Deep learning-based object detection algorithms can be categorized into three main types: end-to-end algorithms, two-stage algorithms, and one-stage algorithms. …”
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Development Of Machine Learning User Interface For Pump Diagnostics
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Fair scheduling algorithm in LTE-advanced networks
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Optimal location and size of distributed generation to reduce power losses and improve voltage profiles using differential evolution optimization method
Published 2016“…This research aimed to reduce both total real and reactive power losses and improve voltage profiles of the distribution system by proposing a differential evolution (DE) algorithm to optimize DG size and location by taking into consideration different types of DG units. …”
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