Results 91 to 100 of about 46,799 (193)
We introduce Disk2Planet, a machine-learning-based tool to infer key parameters in disk–planet systems from observed protoplanetary disk structures. Disk2Planet takes as input the disk structures in the form of 2D density and velocity maps, and outputs ...
Shunyuan Mao +5 more
doaj +1 more source
Adaptive Ranking Based Constraint Handling for Explicitly Constrained Black-Box Optimization
A novel explicit constraint handling technique for the covariance matrix adaptation evolution strategy (CMA-ES) is proposed. The proposed constraint handling exhibits two invariance properties.
Akimoto, Youhei, Sakamoto, Naoki
core
A parallel implementation of the covariance matrix adaptation evolution strategy
In many practical optimization problems, the derivatives of the functions to be optimized are unavailable or unreliable. Such optimization problems are solved using derivative-free optimization techniques. One of the state-of-the-art techniques for derivative-free optimization is the covariance matrix adaptation evolution strategy (CMA-ES) algorithm ...
openaire +2 more sources
In this paper, a novel topology optimization method, which reduce the computational cost for solving constrained optimization, was proposed. In constrained optimization problems, it takes a lot of time to search for solutions that satisfy the constraints
Yuki Hidaka +2 more
doaj +1 more source
Neutrality: A Necessity for Self-Adaptation
Self-adaptation is used in all main paradigms of evolutionary computation to increase efficiency. We claim that the basis of self-adaptation is the use of neutrality.
Igel, Christian, Toussaint, Marc
core +5 more sources
Unmanned Aerial Vehicle (UAV) swarm path planning poses significant challenges, particularly in dynamic environments with complex obstacles. Traditional path-planning methods often encounter difficulties related to high dimensionality and obstacle ...
Ziyin Xu +6 more
doaj +1 more source
An Evidential Reasoning Assessment Method Based on Multidimensional Fault Conclusion
The running gear mechanism is a critical component of high-speed trains, essential for maintaining safety and stability. Malfunctions in the running gear can have severe consequences, making it imperative to assess its condition accurately.
Zhi Gao +3 more
doaj +1 more source
Joint contrastive learning and belief rule base for named entity recognition in cybersecurity
Named Entity Recognition (NER) in cybersecurity is crucial for mining information during cybersecurity incidents. Current methods rely on pre-trained models for rich semantic text embeddings, but the challenge of anisotropy may affect subsequent encoding
Chenxi Hu +3 more
doaj +1 more source
Information-Theoretic Dual Adaptive Control Revisited: Multivariable Extension with Applications to Fault-Tolerant Control. [PDF]
Yamé JJ.
europepmc +1 more source
An interpretable vibration-enhanced BRB model for rolling bearing fault diagnosis. [PDF]
Fan Z, Li K, Zhu H, Yang C, He W.
europepmc +1 more source

