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Published in 2019 at "Annals of Operations Research"
DOI: 10.1007/s10479-019-03428-3
Abstract: Correlation can seriously degrade reliability and capacity due to the simultaneous failure of multiple components, which lowers the probability that a system can execute its required functions with acceptable levels of confidence. The high cost…
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Keywords:
network;
time constrained;
multi state;
reliability ... See more keywords
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Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-72710-7
Abstract: The miniaturization of antennas is crucial as it improves the integration of wireless communication system. In order to achieve miniaturization of antennas, a performance-constrained multi-objective optimization method (PCMOM) considering the size and return loss is…
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Keywords:
multi objective;
miniaturization;
constrained multi;
performance ... See more keywords
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Published in 2025 at "Journal of the Operational Research Society"
DOI: 10.1080/01605682.2025.2479136
Abstract: Abstract The feasibility requirement of constraints poses a severe obstacle to the algorithms’ convergence and diversity when solving constrained multi-objective optimization problems (CMOPs) in science and engineering. This paper adopts a stricter constraint dominance principle,…
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Keywords:
multi objective;
stricter constraint;
multi performance;
constrained multi ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2019.2963372
Abstract: In order to coordinate the economy and voltage quality of a meshed AC/VSC-MTDC system, a new corrective security-constrained multi-objective optimal power flow (SC-MOPF) method is presented in this paper. A parallel SC-MOPF model with $N$…
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Keywords:
system;
security constrained;
mtdc system;
constrained multi ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3107284
Abstract: Constrained multi-objective optimization problems are common in practical engineering and are more difficult to handle than unconstrained problems. In general, it is necessary to find a balance between the convergence and diversity of solutions, as…
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Keywords:
many objective;
particle swarm;
optimization;
multi many ... See more keywords
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3274206
Abstract: Double-sided tubular machines (DSTM) have greatly improved space utilization and power density, and are widely used in tidal power generation and high-power electric drives, while the thrust force ripple is also significant. To get the…
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Keywords:
multi objective;
constrained multi;
objective optimization;
double sided ... See more keywords
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Published in 2022 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2022.3149007
Abstract: An unmanned aerial vehicle (UAV) is employed to sequentially visit the specific waypoints and provide offloading services for nearby devices. Most of the current works optimized the UAV-enabled offloading according to a single criterion while…
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Keywords:
multi objective;
constrained multi;
objective optimization;
uav ... See more keywords
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Published in 2024 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2024.3395993
Abstract: An unmanned aerial vehicle (UAV)-enabled intelligent transportation system utilizes a set of UAVs to collect and process surveillance data for transportation management. Subsequently, the processing results of the UAVs are transmitted to a control center…
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Keywords:
multi objective;
energy;
completion time;
constrained multi ... See more keywords
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Published in 2020 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2020.2965482
Abstract: Discriminative Correlation Filter (DCF) based trackers are quite efficient in tracking objects by exploiting the circulant structure. The kernel trick further improves the performance of such trackers. The unwanted boundary effects, however, are difficult to…
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Keywords:
constrained multi;
correlation;
multi kernel;
kernel correlation ... See more keywords
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Published in 2024 at "IEEE Transactions on Power Systems"
DOI: 10.1109/tpwrs.2023.3279692
Abstract: An exact algorithm is developed for the chance-constrained multi-area reserve sizing problem in the presence of transmission network constraints. The problem can be cast as a two-stage stochastic mixed integer linear program using sample approximation.…
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Keywords:
mixed integer;
integer;
constrained multi;
chance constrained ... See more keywords
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Published in 2025 at "Applied Sciences"
DOI: 10.3390/app15094847
Abstract: In the context of expensive constraint multi-objective problems, it is evident that the feasible domain shapes and sizes of different problems vary considerably. The difficulty in finding optimal solutions presents a significant challenge in ensuring…
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Keywords:
multi objective;
evolutionary algorithm;
algorithm;
constrained multi ... See more keywords