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Directed Search: A New Operator in NSGA-II for Task Scheduling in IoT Based on Cloud-Fog Computing
IEEE Transactions on Cloud Computing, 2023In recent years, the Internet of Things (IoT) developments have made it one of the most important technologies. The exponential growth of data and increasing the number of latency-sensitive applications has necessitated a new approach to support these ...
S. Mousavi +3 more
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Segmentation of Microscopic Images with NSGA-II
Computación y Sistemas, 2018This paper addresses the problem of multiobjective segmentation on microscopic images by using the evolutionary algorithm NSGA-II. Two objective functions are used at the optimization process: Otsu’s inter-class variance and Shannon’s entropy. A set of 71 images of blood cells are used.
Rocio Ochoa-Montiel +3 more
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IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2023
With the penetration of renewable sources, the DC microgrid is much more efficient and flexible to link renewable power generators and DC loads. Due to the uncertainties in both sources and loads, it is hard to maintain the economic and optimal operation
Zijun Ren +3 more
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With the penetration of renewable sources, the DC microgrid is much more efficient and flexible to link renewable power generators and DC loads. Due to the uncertainties in both sources and loads, it is hard to maintain the economic and optimal operation
Zijun Ren +3 more
semanticscholar +1 more source
Journal of Electromagnetic Waves and Applications, 2008
The multi-objective optimization NSGA-II approach has been proved that, in most of times, it has much better spread of solutions and better convergence near the true Pareto-optimal than mostly Pareto-optimal method. But there are also disadvantages to restrict the spread uniformity in some problems. This paper overcomes these disadvantages to get three
J. OuYang +3 more
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The multi-objective optimization NSGA-II approach has been proved that, in most of times, it has much better spread of solutions and better convergence near the true Pareto-optimal than mostly Pareto-optimal method. But there are also disadvantages to restrict the spread uniformity in some problems. This paper overcomes these disadvantages to get three
J. OuYang +3 more
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Scoring and Dynamic Hierarchy-Based NSGA-II for Multiobjective Workflow Scheduling in the Cloud
IEEE Transactions on Automation Science and Engineering, 2022Cloud computing becomes a promising technology to reduce computation cost by providing users with elastic resources and application-deploying environments as a pay-per-use model. More scientific workflow applications have been moved or are being migrated
Huifang Li +5 more
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NSGA-II with local perturbation
2017 29th Chinese Control And Decision Conference (CCDC), 2017To improve the overall performance of one algorithm, most researchers focus on the fitness assignment, preserving diversity and hybridizing different search methods. Different from the above strategies, this paper focuses on the convergence. According to the analysis of the convergence of NSGA-II, local perturbation strategy is introduced to improve ...
Maoqing Zhang +3 more
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Solar Energy, 2021
This paper discusses a performed optimization of the structural and architectural parameters of a detached passive building with a sunspace using a non-dominant sorting genetic algorithm (NSGA-II). The building optimization is performed on the model of a
A. Vukadinović +4 more
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This paper discusses a performed optimization of the structural and architectural parameters of a detached passive building with a sunspace using a non-dominant sorting genetic algorithm (NSGA-II). The building optimization is performed on the model of a
A. Vukadinović +4 more
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Optimizing risk management using NSGA-II
2012 IEEE Congress on Evolutionary Computation, 2012Companies are often susceptible to uncertainties which can disturb the achievement of their objectives. The effect of these uncertainties can be perceived as risk that will be taken. A healthful company have to anticipate undesired events by defining a process for managing risks.
Marcos Álvares Barbosa Junior +2 more
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Multiobjective optimization of building energy consumption based on BIM-DB and LSSVM-NSGA-II
Journal of Cleaner Production, 2021The building envelope performance significantly influences the building energy consumption, and the major influencing factors of the building envelope include the external wall U-value, external wall solar absorptance, roof U-value, roof solar ...
Bin Chen +6 more
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Revisiting the NSGA-II crowding-distance computation
Proceedings of the 15th annual conference on Genetic and evolutionary computation, 2013This paper improves upon the reference NSGA-II procedure by removing an instability in its crowding distance operator. This instability stems from the cases where two or more individuals on a Pareto front share identical fitnesses. In those cases, the instability causes their crowding distance to either become null, or to depend on the individual's ...
Félix-Antoine Fortin, Marc Parizeau
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