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Published in 2020 at "Cluster Computing"
DOI: 10.1007/s10586-020-03071-9
Abstract: Cloud computing has developed as a high-performance computing environment with a huge set of virtualized, abstracted, and flexible resource. It provides service to the user with high-performance. In a large-scale cloud computing environment, the cloud…
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Keywords:
cloud computing;
multi objective;
cloud data;
cloud ... See more keywords
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Published in 2017 at "KSCE Journal of Civil Engineering"
DOI: 10.1007/s12205-016-0704-1
Abstract: Population synthesis is extensively required by a number of micro-simulation models in transportation. A heuristic-based population synthesis method called Pop-H was proposed to overcome the following two limitations that received less attention. The first limitation…
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Keywords:
based population;
population synthesis;
synthesis method;
heuristic based ... See more keywords
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Published in 2025 at "Journal of Lightwave Technology"
DOI: 10.1109/jlt.2025.3617511
Abstract: This paper proposes a novel deep reinforcement learning (DRL) architecture that enables effective decoupling between the agent and the environment for routing, modulation, spectrum, and core allocation (RMSCA) in multi-core fiber elastic optical networks (MCF-EONs).…
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Keywords:
action mapping;
rmsca;
based action;
heuristic based ... See more keywords
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Published in 2024 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2024.3407760
Abstract: One typical application of connected and automated vehicles (CAVs) is to coordinate multiple CAVs at a non-signalized intersection in mixed traffic, and it may take advantage of multi-agent deep reinforcement learning (MDRL) approaches to improve…
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Keywords:
signalized intersection;
connected automated;
heuristic based;
non signalized ... See more keywords
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Published in 2023 at "IEEE Transactions on Software Engineering"
DOI: 10.1109/tse.2022.3185458
Abstract: Just-in-time comment update is a promising way to reduce the burden of developers during software maintenance and evolution. Existing approaches can be divided into two categories: the heuristic-based approach and the deep-learning-based approach. The heuristic-based…
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Keywords:
heuristic based;
based approach;
deep learning;
comment ... See more keywords
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Published in 2024 at "Symmetry"
DOI: 10.3390/sym16060698
Abstract: One of the most widely used robust regression methods for solving simple linear regression problems is the Theil-Sen (TS) estimator. This estimator has some notable advantages; however, it does not belong to the most robust…
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Keywords:
rts estimator;
heuristic based;
regression;
sen estimator ... See more keywords
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Published in 2025 at "PeerJ Computer Science"
DOI: 10.7717/peerj-cs.3234
Abstract: The work that is considered in this article is the difficult task of designing a good scheduling policy for assigning the many activities involved in making multiple products to the available infrastructure of virtual machines…
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Keywords:
based load;
time;
virtual machines;
heuristic based ... See more keywords