U.S. Army Maneuver Support Center of Excellence and Fort Leonard Wood leaders held a town hall Jan. 7 to discuss MSCoE’s role ...
We might be witnessing the start of a new computing era where AI, cloud and quantum begin to converge in ways that redefine ...
To improve the adaptability of solar refrigeration systems to different heat sources, a single-double-effect LiBr-H2O ...
The challenge of resource allocation for UAV swarms in dynamic and uncertain electromagnetic environments has been ...
Abstract: Constrained multi-objective problems (CMOPs) are tricky, because it is difficult to handle multiple objectives and constraints simultaneously. Most existing algorithms perform well on CMOPs ...
In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...
Abstract: Multi-party multi-objective optimization, which aims to find a solution set that satisfies multiple decision makers (DMs) as much as possible, has attracted the attention of researchers ...
In International Conference on Evolutionary Multi-objective Optimization. DOI: 10.1007/978-981-96-3538-2_9 [arXiv] The paper introduces an acquisition function for finding the Pareto front of a ...
1 School of Mathematics and Statistics, Sichuan University of Science and Engineering, Zigong, China. 2 Institute of Computational Mathematics and Scientific/Engineering Computing, Chinese Academy of ...
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