Zobrazeno 1 - 10
of 227
pro vyhledávání: '"Wang, Handing"'
Adversarial training (AT) has become an effective defense method against adversarial examples (AEs) and it is typically framed as a bi-level optimization problem. Among various AT methods, fast AT (FAT), which employs a single-step attack strategy to
Externí odkaz:
http://arxiv.org/abs/2407.12443
The field of evolutionary many-task optimization (EMaTO) is increasingly recognized for its ability to streamline the resolution of optimization challenges with repetitive characteristics, thereby conserving computational resources. This paper tackle
Externí odkaz:
http://arxiv.org/abs/2407.08918
This paper presents an interactive platform to interpret multi-objective evolutionary algorithms. Sokoban level generation is selected as a showcase for its widespread use in procedural content generation. By balancing the emptiness and spatial diver
Externí odkaz:
http://arxiv.org/abs/2406.10663
Pretrained Optimization Models (POMs) leverage knowledge gained from optimizing various tasks, providing efficient solutions for new optimization challenges through direct usage or fine-tuning. Despite the inefficiencies and limited generalization ab
Externí odkaz:
http://arxiv.org/abs/2405.03728
With more and more deep neural networks being deployed as various daily services, their reliability is essential. It is frightening that deep neural networks are vulnerable and sensitive to adversarial attacks, the most common one of which for the se
Externí odkaz:
http://arxiv.org/abs/2306.01762
The core challenge of high-dimensional and expensive black-box optimization (BBO) is how to obtain better performance faster with little function evaluation cost. The essence of the problem is how to design an efficient optimization strategy tailored
Externí odkaz:
http://arxiv.org/abs/2304.11787
Network structure evolves with time in the real world, and the discovery of changing communities in dynamic networks is an important research topic that poses challenging tasks. Most existing methods assume that no significant change in the network o
Externí odkaz:
http://arxiv.org/abs/2211.15043
Publikováno v:
In Neurocomputing 7 June 2024 585
Publikováno v:
In Swarm and Evolutionary Computation October 2024 90
Autor:
Zheng, Nan, Wang, Handing
Publikováno v:
In Swarm and Evolutionary Computation April 2024 86