Results 51 to 60 of about 5,249 (165)

Fault Diagnosis for Body-in-White Welding Robot Based on Multi-Layer Belief Rule Base

Applied Sciences, 2023
Fault diagnosis for body-in-white (BIW) welding robots is important for ensuring the efficient production of the welding assembly line. As a result of the complex mechanism of the body-in-white welding robot, its strong correlation of components, and the
Bang-Cheng Zhang, Ji-Dong Wang, Zhong Zheng, Dian-Xin Chen, Xiao-Jing Yin   +4 more
doaj   +1 more source

Large-Scale Evolutionary Strategy Based on Gradient Approximation

Complexity, 2021
For large-scale optimization, CMA-ES has the disadvantages of high complexity and premature stagnation. An improved CMA-ES algorithm called GI-ES was proposed in this paper.
Jin Jin
doaj   +1 more source

A CMA-ES-Based Adversarial Attack on Black-Box Deep Neural Networks

IEEE Access, 2019
Deep neural networks(DNNs) are widely used in AI-controlled Cyber-Physical Systems (CPS) to controll cars, robotics, water treatment plants and railways.
Xiaohui Kuang, Hongyi Liu, Ye Wang, Qikun Zhang, Quanxin Zhang, Jun Zheng   +5 more
doaj   +1 more source

A Continuation Method Based on CMA-ES

Proceedings of the Genetic and Evolutionary Computation Conference Companion
In this poster, we showcase a new algorithm for approximating the Pareto set of two-objective (unconstrained) optimization problems based on the idea of continuation. The algorithm tries to move "along" the Pareto set from one single-objective optimum to the other and back via a single-objective reformulation of the two-objective problem and the well ...
Hoang Nguyen Vu, Dimo Brockhoff
openaire   +1 more source

Development of an efficient system for predicting CRSS ratios of HCP polycrystalline metals using uniaxial loading conditions

Nihon Kikai Gakkai ronbunshu
Critical resolved shear stress (CRSS) is one of the most important parameters in the field of plasticity in metals, and the CRSS ratios between slip systems govern the plastic anisotropy, workability, and so on.
Sotaro MIKAMI, Yoshiki KAWANO, Kenji IWADATE   +2 more
doaj   +1 more source

CMA-ES with Learning Rate Adaptation

ACM Transactions on Evolutionary Learning and Optimization
The covariance matrix adaptation evolution strategy (CMA-ES) is one of the most successful methods for solving continuous black-box optimization problems. A practically useful aspect of CMA-ES is that it can be used without hyperparameter tuning.
Masahiro Nomura, Youhei Akimoto, Isao Ono   +2 more
openaire   +2 more sources

Hybrid Genetic Algorithm and CMA-ES Optimization for RNN-Based Chemical Compound Classification

Mathematics
The compound classification strategies addressed in this study encounter challenges related to either low efficiency or accuracy. Precise classification of chemical compounds from SMILES symbols holds significant importance in domains such as drug ...
Zhenkai Guo, Dianlong Hou, Qiang He
doaj   +1 more source

CMA-ES and advanced adaptation mechanisms [PDF]

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2017
Youhei Akimoto, Nikolaus Hansen
openaire   +2 more sources

Impact of sample size on optimisation algorithms for the MLP used in the prediction of client subscription to a term deposit [version 3; peer review: 2 approved, 2 approved with reservations]

F1000Research
Background One of the disadvantages of the multilayer perception (MLP), which is a machine learning (ML) algorithm used in various fields, includes the uncontrollable growth of the number of total parameters, which may make MLP redundant in such high ...
Tlhalitshi Volition Montshiwa, Tshegofatso Botlhoko   +1 more
doaj   +1 more source

Impact of sample size on optimisation algorithms for the MLP used in the prediction of client subscription to a term deposit [version 2; peer review: 1 approved, 2 approved with reservations]

F1000Research
Background One of the disadvantages of the multilayer perception (MLP), which is a machine learning (ML) algorithm used in various fields, includes the uncontrollable growth of the number of total parameters, which may make MLP redundant in such high ...
Tlhalitshi Volition Montshiwa, Tshegofatso Botlhoko   +1 more
doaj   +1 more source