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T-way test data generation startegy with MBO algorithm
Published 2015“…This paper presented the implementation of a nature inspired metaheuristic search algorithms that are Migrating Birds Optimization (MBO) algorithm and Genetic Algorithm (GA) hybrid to a t-way test data generation strategy. …”
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Comparative Study between Flower Pollination Algorithm and Cuckoo Search Algorithm for t-way Test Data Generation
Published 2018“…T-way testing is a sampling approach for test data generation. Recently, adapting meta-heuristic algorithms for t-way testing is very attractive in order to find a minimum subset of test data that can test a system overall. …”
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A novel peak load shaving algorithm for isolated microgrid using hybrid PV-BESS system
Published 2021“…To evaluate the effectiveness of the algorithm, simulation case studies have been conducted with actual load data and actual PV generation data. …”
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A random search based effective algorithm for pairwise test data generation
Published 2011“…This paper proposes an effective random search based pairwise test data generation algorithm named R2Way to optimize the number of test cases. …”
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Repetitive mutations in genetic algorithm for software test data generations
Published 2022“…However, to satisfy path coverage testing, GA’s operation of a single mutation generates test data that covers the same path in a single generation, hence resulting in path coverage duplication, which negatively increases the number of iterations. …”
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PSAT : a pairwise test data generation tool based on simulated annealing algorithm
Published 2015“…This research is about the research on developing a Pairwise Test Data Generation Tool based on Simulated Annealing (SA) algorithm which named as PSAT. …”
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Undergraduates Project Papers -
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An online density-based clustering algorithm for data stream based on local optimal radius and cluster pruning
Published 2019“…BOCEDS clusters the data stream in a single stage. The algorithm summarizes the data from data stream in micro-clusters. …”
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Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms
Published 2005“…In cluster generating process, the developed BBSI algorithm was used to select the best band combination for generating cluster by using Iterative self- Organizing Data Analysis (ISODATA) technique. …”
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A data driven approach to wind plant control using moth-flame optimization (MFO) algorithm
Published 2019“…Therefore, it is necessary to re-tune the controller of each turbine in the wind plant such that the total power generation is improved. This article presents an investigation of a data driven approach using moth-flame optimization algorithm (MFO) to the problem of improving wind plants power generation. …”
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Evaluating Bees Algorithm for Sequence-based T-way Testing Test Data Generation
Published 2018“…Many t-way test data generation strategies have been proposed in the literature to generate optimized t-way test data. …”
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Solving economic load dispatch problem using genetic algorithm method / Norliza Kamarulzaman
Published 2009“…Data taken from the test system is analysed as the power system data generation. …”
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Direct approach for mining association rules from structured XML data
Published 2012“…The experiments were conducted on self generated data sets (7 different sets) and well known datasets (Mushroom & Cars Data set). …”
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VLSI floor planning optimization using genetic algorithm and cross entropy method / Angeline Teoh Szu Fern
Published 2012“…This method consists of 2 phases which are the random data generation and then update of the probabilities based on the performance of the data generated. …”
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Flower pollination algorithm for data generation and analytics - a diagnostic analysis
Published 2020“…The effectiveness of optimization in scientific and engineering applications has made optimization a popular area of scientific investigation in data generation and analytics leading to the design of several optimization algorithms. …”
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MaxD K-Means: A clustering algorithm for auto-generation of centroids and distance of data points in clusters
Published 2012“…In this paper, we propose a clustering technique called MaxD K-Means clustering algorithm. …”
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Fuzzy Systems and Bat Algorithm for Exergy Modeling in a Gas Turbine Generator
Published 2011“…The fuzzy models are trained applying locally linear model tree algorithm followed by a meta-heuristic nature inspired algorithm called bat algorithm. …”
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New Learning Models for Generating Classification Rules Based on Rough Set Approach
Published 2000“…Classification rules were generated based on the best reduct. For the problem of missing data, a new approach was proposed based on data partitioning and function mode. …”
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Development of efficient t-way test data generation algorithm and execution strategies
Published 2012“…This strategy is able to reduce the number of test data, but the execution time is not optimized. (II) EasyA (Easy Algorithm for 2-way Test Data Generation) is developed based on matrix based calculation to overcome the time constrains by keeping the number of test data in an acceptable range. …”
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EasyA: Easy and effective way to generate pairwise test data
Published 2013“…Pairwise (2- way or t = 2) interaction can find most of the software faults. This paper proposes a matrix based calculation for pairwise test data generation algorithm named EasyA to optimize the number of test cases. …”
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