Search Results - (( evolution computing techniques ) OR ( solution using techniques ))*
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Harmonic Elimination Pulse Width Modulation Using Differential Evolution Technique For Three Phase Voltage Source Inverter
Published 2018“…This thesis presents an efficient and reliable DE based solution applied to the Harmonics Elimination Pulse Width Modulation (HEPWM) switching technique for three phase voltage source inverters. …”
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Game-theoretic differential evolution for multiobjective optimization of green sand mould system
Published 2016“…In this work, the trade-off solutions are obtained using the weighted-sum approach. …”
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Cloudlet deployment and task offloading in mobile edge computing using variable-length whale and differential evolution optimization and analytical hierarchical process for decisio...
Published 2023“…Mobile edge computing (MEC) is a well-known technique to support delay-sensitive applications at the edge of mobile networks. …”
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Decomposition–based multi-objective differential evolution for extractive multi-document automatic text summarization
Published 2024“…In order to address this, a novel solution called Decomposition-based Multi-Objective Differential Evolution (MODE/D) is proposed. …”
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Optimization of extractive Automatic Text Summarization using Decomposition-based Multi-objective Differential Evolution and parallelization
Published 2024“…The current approach encounters a significant hurdle due to the long execution time, especially when employing complex optimization techniques alongside a computationally expensive ATS repair operator that repairs multiple candidate solutions. …”
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Gas-Kinetic BGK Scheme for Supersonic Channel Flow Simulation
Published 2006“…For efficient computations, particle distribution functions in the general solution of the BGK model are simplified and used for the flow simulations. …”
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Modification of species-based differential evolution for multimodal optimization
Published 2015“…Optimization problem is the problem of maximizing or minimizing a function of one variable or many variables, which include unimodal and multimodal functions. Differential Evolution (DE), is a random search technique using vectors as an alternative solution in the search for the optimum. …”
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IMPROVEMENTS FOR UPLINK LONG TERM EVOLUTION (UL-LTE) IN HETEROGENEOUS NETWORK USING DYNAMIC SPECTRUM ALLOCATION TECHNIQUE
Published 2023“…To maximise throughput in a heterogeneous network, the suggested DSA technique utilises the Nash Bargaining Solution (NBS) scheme, a cooperative game theory that could correlate with the bit error rate. …”
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A coevolutionary multiobjective evolutionary algorithm for game artificial intelligence
Published 2013“…Recently, the growth of Artificial Intelligence (AI) has provided a set of effective techniques for designing computer-based controllers to perform various tasks autonomously in game area, specifically to produce intelligent optimal game controllers for playing video and computer games. …”
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A novel cell-selection optimization handover for long-term evolution (LTE) macrocellusing fuzzy TOPSIS
Published 2016“…To address this issue, we propose a multiple-criteria decision-making method. In this method, we use an integrated fuzzy technique for order preference by using similarity to ideal solution (TOPSIS) on S-criterion, availability of resource blocks (RBs), and uplink signal-to-interference-plus-noise ratio. …”
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Applications of Mash-ups for a Digital Journal
Published 2008“…In this paper, we explore an innovative solution to address these problems by using an emerging Web 2.0 technology. …”
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A New Hybrid K-Means Evolving Spiking Neural Network Model Based on Differential Evolution
Published 2018“…The proposed model examines that ESNN improves by using K-DESNN model. This approach improves the flexibility of the ESNN algorithm in producing better solutions which is utilized to conquer the K-means disadvantages. …”
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Book Chapter -
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Review of adaptive cell selection techniques in LTE-advanced heterogeneous networks
Published 2016“…By contrast, a cell selection technique based on adaptive bias is a more effective solution to traffic load balancing in terms of increasing data rate compared with static bias-based approaches. …”
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Application of Gas-Kinetic BGK Scheme for Solving 2-D Compressible Inviscid Flow around Linear Turbine Cascade
Published 2006“…For efficient computations, particle distribution functions in the general solution of the BGK model are simplified and used for the flow simulations. …”
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Algorithmic design issues in adaptive differential evolution schemes: Review and taxonomy
Published 2018“…These fine-tuning techniques continue to be the object of ongoing research. …”
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Software testing optimization for large systems using agent-based and NSGA-II algorithms
Published 2023“…The multiobjective optimization problem is addressed in this article using a novel evolutionary technique to find a global solution in the Pareto form. …”
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Selective harmonic elimination in cascaded H-bridge multilevel inverter using hybrid APSO algorithm / Mudasir Ahmed
Published 2019“…Regardless of many benefits of BIAs, the issues like local minima, less precision, slow convergence rate, and computational complexity are the core optimization problems which required some serious consideration to acquire the maximum benefit from the SHEPWM technique. …”
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Improvement of SCTP congestion control in the LTE-A network
Published 2015“…The ranking can be achieved by adding a value which selection is based on a multi-criteria problem. Concretely we used the multi-criteria decision-making (MCDM) technique, especially the utilization of the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). …”
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Blockchain-based Multifactor Authentication for Future 6G Cellular Networks : A Systematic Review
Published 2022“…Recently, multifactor authentication techniques (MFA) have been deployed as potential solutions to attacks in blockchains. …”
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