Search Results - (( java application stemming algorithm ) OR ( strategy implementation using algorithm ))
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Sequence-based interaction testing implementation using Bees Algorithm
Published 2023“…In this paper we present a sequence-based interaction testing strategy (termed as sequence covering array) using Bees Algorithm. …”
Conference paper -
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Pairwise Test Data Generation based on Flower Pollination Algorithm
Published 2017“…Recently, many existing works are focusing on the use of Search-Based algorithms as the basis of the implementation algorithm; however, there is no single strategy that can be the best for all cases. …”
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Sequence and sequence-less t-way test suite generation strategy based on the elitist flower pollination algorithm
Published 2018“…Addressing these aforementioned issues and complementing the existing sequence based strategies such as t-SEQ, Sequence Covering Array Generator and Bee Algorithm, this thesis presents a unified strategy based on the new meta-heuristic algorithm, called the Elitist Flower Pollination Algorithm (eFPA). …”
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Finding objects with segmentation strategy based multi robot exploration in unknown environment
Published 2013“…Also the algorithm using segmentation strategy is using frontier base algorithm for exploring divided area. …”
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An Automated Summarization Assessment Algorithm for Identifying Summarizing Strategies
Published 2016“…We then implemented the algorithm for the automated summarization assessment system that can be used to identify the summarizing strategies used by students in summary writing.…”
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Comparative Analysis of Neighborhood based Meta-heuristic Algorithms for MC/DC Test Data Generation
Published 2016“…As a result, many meta-heuristic based strategy implementations have appeared in the literature. …”
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Hybrid flower pollination algorithm strategies for t-way test suite generation
Published 2018“…Consequently, many useful meta-heuristic algorithms have been developed on the basis of the implementation of t-way strategies (where t indicates the interaction strength). …”
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An Effective Power Dispatch Strategy for Clustered Microgrids While Implementing Optimal Energy Management and Power Sharing Control Using Power Line Communication
Published 2020“…Thisarticle proposes an effective power dispatch strategy for clusteredmicrogrids. The developed hybrid algorithm implements optimalenergy management and power sharing control using binary data.The frequency-shift keying (FSK) technique has been adoptedfor transmitting the binary signal over the power line commu-nication (PLC). …”
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An Efficient Parallel Quarter-sweep Point Iterative Algorithm for Solving Poisson Equation on SMP Parallel Computer
Published 2000“…In this paper, the parallel implementation of the new algorithm with the chessboard (CB) strategy on Symmetry Multi Processors (SMP) parallel computer was presented. …”
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Parallel implementation on improved error signal of backpropagation algorithm
Published 2002“…Further study on the improved BP algorithm is carried out on many processors, which is implemented using the Sequent Symmetry SE30 machine. …”
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Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh
Published 2015“…ARDE algorithm makes use of JADE strategy and the MDE_pBX parameters adaptive schemes as frameworks. …”
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Thesis -
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An Effective Power Dispatch Strategy for Clustered Micro-grids while Implementing Optimal Energy Management and Power Sharing Control using Power Line Communication
Published 2019“…This paper proposes an effective power dispatch strategy for clustered micro-grids. The developed hybrid algorithm implements optimal energy management and power sharing control using binary data. …”
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Improved combined mutation clonal selection algorithm
Published 2023“…In this paper, the performance of a clonal selection optimization algorithm implementing a combined mutation strategy using Gaussian and Cauchy mutations was further improved with the addition of two new operators, namely the Cell Repair Operator (CPO) and Dynamic Mutation Size Operator (DMSO). …”
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Autonomous path planning robot using geographical information
Published 2008“…After the simulation using Matlab, the algorithm will then be implemented in the robot using basic stamp to run the mobile robot. …”
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Learning Object -
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ETOU electricity tariff for manufacturing load shifting strategy using ACO algorithm
Published 2019“…Superior bio-inspired algorithm, Ant Colony Optimization (ACO) had been implemented to optimize the upright load profile of load shifting strategy in the Malaysia Enhance Time of Use (ETOU) tariff condition. …”
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Genetic Algorithm Performance with Different Selection Strategies in Solving TSP
Published 2011“…A genetic algorithm (GA) has several genetic operators that can be modified to improve the performance of particular implementations. …”
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