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A Summary Sentence Decomposition Algorithm for Summarizing Strategies Identification
Published 2009“…This paper reports on our effort to develop an algorithm to identify the summarizing strategies employed by students using summary sentence decomposition. …”
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An Algorithm for Summarizing Strategies Identification
Published 2008“…The strategies used by experts are identified and translated into a set of heuristic rules where the algorithm is developed based on the heuristic rules.…”
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Identifying Students' Summary Writing Strategies Using Summary Sentence Decomposition Algorithm
Published 2011“…For evaluation, we measured the algorithm's functionality in identifying the different strategies. …”
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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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Optimal charging strategy for plug-in hybrid electric vehicle using evolutionary algorithm
Published 2016“…An optimal charging strategy for plug-in hybrid electric vehicle (PHEV) is proposed and developed by using evolutionary algorithm to obtain the most suitable charging condition for each PHEV charging. …”
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Undergraduates Project Papers -
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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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Elitist hybrid migrating birds optimization and genetic algorithm based strategy for T-way test suite generation
Published 2020“…Addressing the aforementioned issues, this research proposes the development and implementation of hybrid t-way strategy based Migrating Birds Optimization Algorithm (MBO) and Genetic Algorithm (GA) with elitism, termed Elitist Hybrid MBO-GA. …”
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On Adopting Parameter Free Optimization Algorithms for Combinatorial Interaction Testing
Published 2015“…Recently, in line with the upcoming field called Search based Software Engineering (SBSE), many newly strategies have been developed adopting specific optimization algorithm (e.g. …”
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Iteration strategy and ts effect towards the performance of population based metaheuristics
Published 2020“…A researcher developing a new population-based algorithm need to identify the best strategy so that the performance of the algorithm proposed is maximized.…”
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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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Acceleration Strategies For The Backpropagation Neural Network Learning Algorithm
Published 2001“…In this thesis, factors that govern the learning speed of the backpropagation algorithm are investigated and mathematically analyzed in order to develop strategies to improve the performance of this neural network learning algorithm. …”
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Extended bat algorithm for PID controller tuning of wheeled mobile robot and swarm robotics target searching strategy
Published 2020“…By applying the developed robot with PD controller, EBA prove its potentiality to develop the best target searching strategy to the swarm robotics system with 5 number of iterations within 49 seconds. …”
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An Orchestrated Survey on T-Way Test Case Generation Strategies Based on Optimization Algorithms
Published 2014“…This paper presents an orchestrated survey of the existing OpA t-way strategies as Simulated Annealing (SA), Genetic Algorithm (GA), Ant Colony Algorithm (ACA), Particle Swarm Optimization based strategy (PSTG), and Harmony Search Strategy (HSS). …”
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Book Chapter -
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Regenerative braking strategy for electric vehicles using improved adaptive genetic algorithm
Published 2017“…The second strategy is based on Standard Genetic Algorithm (SGA). …”
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Hybrid test redundancy reduction strategy based on global neighborhood algorithm and simulated annealing
Published 2018“…There are already many works in the literature exploiting the greedy computational algorithms as well as the meta-heuristic algorithms, but no single strategy can claim dominance in terms of test data reduction over their counterparts. …”
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Conference or Workshop Item -
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Development of efficient t-way test data generation algorithm and execution strategies
Published 2012“…And finally, (IV) MTTG (Multi-Tuple based T-way Test Data Generation) strategy is developed inspiring kids “Card Game” to overcome the limitations of interaction strength. …”
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Optimizing wireless sensor networks: A survey of clustering strategies and algorithms
Published 2024“…The discussion explains the strategies of different algorithms, advantages, and disadvantages. …”
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