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Joint optimization of mission abort and system structure considering dynamic tasks
X Zhao, H Liu, Y Wu, Q Qiu - Reliability Engineering & System Safety, 2023 - Elsevier
Mission abort has recently attracted considerable attention to enhance the safety of critical
systems during the primary mission (PM). Most of the existing research focuses on mission …
systems during the primary mission (PM). Most of the existing research focuses on mission …
Metaheuristic evolutionary algorithms: Types, applications, future directions, and challenges
Metaheuristic optimization methods are widely used to solve complex optimization problems
in various fields such as engineering, finance, and logistics. Evolutionary Algorithms (EAs) …
in various fields such as engineering, finance, and logistics. Evolutionary Algorithms (EAs) …
A survey on automatic delineation of radiotherapy target volume based on machine learning
Z Tao, S Lyu - Data Intelligence, 2023 - direct.mit.edu
Radiotherapy is one of the main treatment methods for cancer, and the delineation of the
radiotherapy target area is the basis and premise of precise treatment. Artificial intelligence …
radiotherapy target area is the basis and premise of precise treatment. Artificial intelligence …
Query-efficient generation of adversarial examples for defensive dnns via multiobjective optimization
Due to the inherent vulnerability of deep neural networks (DNNs), the adversarial example
(AE) attack has become a serious threat to intelligent systems, eg, the failure cause of an …
(AE) attack has become a serious threat to intelligent systems, eg, the failure cause of an …
Optimal searching time allocation for information collection under cooperative path planning of multiple UAVs
Y Li, L Liu, J Wu, M Wang, H Zhou… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) play an essential role in information collection where
routing and time scheduling are two critical factors and are considered sequently. Given the …
routing and time scheduling are two critical factors and are considered sequently. Given the …
DESCO: Decomposition-based co-design to improve fault tolerance of security-critical tasks in cyber physical systems
Confidentiality-Specific Faults (CSFs) will put cyber physical systems in threat, since they
can result in corrupted information or even retrieve the cryptographic key of security-critical …
can result in corrupted information or even retrieve the cryptographic key of security-critical …
Faulty processor identification for a multiprocessor system under the Malek model using an improved binary bat algorithm
W Gui, F Pan, D Zhu, F Li - The Journal of Supercomputing, 2023 - Springer
A multiprocessor system should be able to identify and eliminate faults in time to avoid the
paralysis of a whole system. This paper proposes an improved binary bat algorithm to …
paralysis of a whole system. This paper proposes an improved binary bat algorithm to …
Parallel Multi-Objective Bayesian Optimization Framework for CGRA Microarchitecture
Recently, due to the flexibility and reconfigurability of Coarse-Grained Reconfigurable
Architecture (CGRA), CGRA microarchitecture has become an inevitable trend to accelerate …
Architecture (CGRA), CGRA microarchitecture has become an inevitable trend to accelerate …
Efficient 3-D Processor Array Reconfiguration Algorithms Based on Bucket Effect
With the progressive augmentation of the density of 3-D processor arrays, some processor
elements (PEs) often fail due to overload or overheating during massively parallel …
elements (PEs) often fail due to overload or overheating during massively parallel …
Cooperative coevolution-based design space exploration for multi-mode dataflow map**
Some signal processing and multimedia applications can be specified by synchronous
dataflow (SDF) models. The problem of SDF map** to a given set of heterogeneous …
dataflow (SDF) models. The problem of SDF map** to a given set of heterogeneous …