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Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2025.3595102
Abstract: Solving the multiple unmanned aerial vehicles task allocation problem with complex constraints (MTAPCc) by means of the constrained multiobjective evolutionary algorithms (cMOEAs) is novel research in the field of Operation Research. Its advantages mainly consist…
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Keywords:
population coevolutionary;
dual neighborhood;
search;
dual population ... See more keywords
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Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3211853
Abstract: Optimal wireless sensor placement (OWSP) plays a pivotal role in structural health monitoring. This study proposes a method to determine the simultaneous placement of sensors and sinks that minimizes energy consumption and maximizes information effectiveness.…
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Keywords:
wireless;
wireless sensor;
placement;
dual population ... See more keywords
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Published in 2024 at "Algorithms"
DOI: 10.3390/a17030110
Abstract: This work discusses the electric vehicle (EV) ordered charging planning (OCP) optimization problem. To address this issue, an improved dual-population genetic moth–flame optimization (IDPGMFO) is proposed. Specifically, to obtain an appreciative solution of EV OCP,…
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Keywords:
moth flame;
optimization;
dual population;
population genetic ... See more keywords
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Published in 2023 at "Symmetry"
DOI: 10.3390/sym15040836
Abstract: In real-world production processes, the same enterprise often has multiple factories or one factory has multiple production lines, and multiple objectives need to be considered in the production process. A dual-population genetic algorithm with Q-learning…
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Keywords:
population genetic;
distributed hybrid;
algorithm learning;
genetic algorithm ... See more keywords