The crossover operation is an important component of genetic algorithms for test case generation. The usefulness of crossover, however, is not really clear, especially for industrial settings. This research applies EvoSuite, a well-known searchbased test case generator, to both open-source and industrial Java programs, and investigates the impact of the use of crossover on the code coverage achieved by the generated test cases. Our empirical study shows that the usefulness of the crossover operation varies for open-source and industrial code, and that the crossover operation may not necessarily be good, especially for some industrial programs. We further analyze (un)favorable conditions/code features for the use of crossover operations, providing hints for effective test case generation.
/PRNewswire/ The "Global Material Informatics Market by Technique (Statistical Analysis, Genetic Algorithm, Deep Tensors, Digital Annealers), Elements.
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Microgrid (MG) concept with renewable technologies have the challenges of supplying reliable power considering the intermittent nature of the sources. Energy storage system (ESS) has become a viable solution to control the power fluctuation and thus providing the reliable power to the consumer. However, commonly used charging-discharging control techniques have the limitations of solving overcharging or over-discharging problem, fast charging capability, and rapid response time. To overcome these problems, fuzzy logic controller (FLC) has been proposed to control the charging-discharging due to its easy implementation, no mathematical calculation, and simplicity. However, existing FLC technologies have the limitations in considering the battery control parameters, and selecting the safe operating region (20% to 80%) of the battery state of charge (SOC). Therefore, this research proposes an improved FLC considering the available power from grid and distributed sources, load demand, batt
As technology continues to advance, algorithms have become an integral part of our everyday lives. From the moment we wake up and check our phones to the moment we go to bed, algorithms are working…