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Published in 2017 at "Evolutionary Intelligence"
DOI: 10.1007/s12065-017-0152-y
Abstract: Multilevel thresholding is one of the most broadly used approaches to image segmentation. However, the traditional techniques of multilevel thresholding are time-consuming, especially when the number of the threshold values is high. Thus, population-based metaheuristic…
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Keywords:
image;
population based;
image thresholding;
metaheuristic algorithms ... See more keywords
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Published in 2020 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-020-01829-y
Abstract: Recent research has consistently shown that the concurrence between exploration and exploitation can significantly limit the effectiveness of exploration on heuristic search. This has led to the design of hybrid algorithms that separate both task…
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Keywords:
metaheuristic hybrids;
machine learning;
exploration;
learning based ... See more keywords
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Published in 2020 at "Iete Journal of Research"
DOI: 10.1080/03772063.2020.1785341
Abstract: A combination of various energy conversion units offers a multi-carrier energy system, namely Energy Hub (EH). Optimal scheduling of EHs in the interconnected systems besides providing flexible man...
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Keywords:
probabilistic scheduling;
proposed configuration;
configuration based;
optimal probabilistic ... See more keywords
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Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2021.3140056
Abstract: Seedling production is important to modern agriculture for its economic value in land utilization and yield promotion. Three crucial decisions for seedling production are new order acceptance, backlogged order fulfillment, and growth rate control. The…
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Keywords:
seedling production;
simulation based;
based metaheuristic;
production ... See more keywords