Results 251 to 260 of about 248,294 (326)
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CEC: A Containerized Edge Computing Framework for Dynamic Resource Provisioning
IEEE Transactions on Mobile Computing, 2023Container has been widely used in application development and management systems. However, there are two major challenges faced in the real deployment at edge servers.
Shihong Hu, Weisong Shi, Guanghui Li
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IEEE Congress on Evolutionary Computation, 2022
In this paper, a cooperative model of four well-performing evolutionary algorithms enhanced by Eigen crossover is proposed and applied to a set of problems CEC 2022.
P. Bujok, Patrik Kolenovsky
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In this paper, a cooperative model of four well-performing evolutionary algorithms enhanced by Eigen crossover is proposed and applied to a set of problems CEC 2022.
P. Bujok, Patrik Kolenovsky
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IEEE Congress on Evolutionary Computation, 2022
This paper presents an enhanced version of NL-SHADE-RSP, which won CEC'2021 competition on single objective bound-constrained numerical optimization for shifted and rotated shifted functions.
Rafał Biedrzycki +2 more
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This paper presents an enhanced version of NL-SHADE-RSP, which won CEC'2021 competition on single objective bound-constrained numerical optimization for shifted and rotated shifted functions.
Rafał Biedrzycki +2 more
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IEEE Congress on Evolutionary Computation, 2022
In this paper the adaptive differential evolution algorithm is presented, which includes a set of concepts, such as linear bias change in parameter adaptation, repetitive generation of points for bound constraint handling, as well as non-linear ...
V. Stanovov, S. Akhmedova, E. Semenkin
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In this paper the adaptive differential evolution algorithm is presented, which includes a set of concepts, such as linear bias change in parameter adaptation, repetitive generation of points for bound constraint handling, as well as non-linear ...
V. Stanovov, S. Akhmedova, E. Semenkin
semanticscholar +1 more source
IEEE Congress on Evolutionary Computation, 2021
The initiative to introduce new benchmark problems has drawn attention to the development of new optimization algorithms. Recently, a set of constrained benchmark problems has been developed as a addition to CEC benchmark series.
A. W. Mohamed +4 more
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The initiative to introduce new benchmark problems has drawn attention to the development of new optimization algorithms. Recently, a set of constrained benchmark problems has been developed as a addition to CEC benchmark series.
A. W. Mohamed +4 more
semanticscholar +1 more source
IEEE Congress on Evolutionary Computation, 2021
This paper proposes a variant of the adaptive differential evolution algorithm, which combines several important concepts, including non-linear population size reduction, rank-based selective pressure in the mutation strategy, adaptive archive set usage,
V. Stanovov, S. Akhmedova, E. Semenkin
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This paper proposes a variant of the adaptive differential evolution algorithm, which combines several important concepts, including non-linear population size reduction, rank-based selective pressure in the mutation strategy, adaptive archive set usage,
V. Stanovov, S. Akhmedova, E. Semenkin
semanticscholar +1 more source
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
Explaining the results of data-intensive computation via provenance has been extensively studied in the literature. We focus here on explaining the output of Machine Learning Classifiers, which are main components of many contemporary Data Science applications.
Daniel Deutch, Nave Frost
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Explaining the results of data-intensive computation via provenance has been extensively studied in the literature. We focus here on explaining the output of Machine Learning Classifiers, which are main components of many contemporary Data Science applications.
Daniel Deutch, Nave Frost
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