Results 351 to 360 of about 24,324,331 (382)
Some of the next articles are maybe not open access.
IEEE Transactions on Automation Science and Engineering, 2019
A semiconductor final testing scheduling problem with multiresource constraints is considered in this paper, which is proved to be NP-hard. To minimize the makespan for this scheduling problem, a cuckoo search algorithm with reinforcement learning (RL ...
Zhengcai Cao +3 more
semanticscholar +1 more source
A semiconductor final testing scheduling problem with multiresource constraints is considered in this paper, which is proved to be NP-hard. To minimize the makespan for this scheduling problem, a cuckoo search algorithm with reinforcement learning (RL ...
Zhengcai Cao +3 more
semanticscholar +1 more source
2019
One critical aspect before assessing the geotechnical system deformation or stability conditions (responses) is the determination of the limit state surface numerically represented by limit state functions (or performance functions). In many complicated and nonlinear problems where the analyses involve the use of numerical procedures such as the finite
openaire +1 more source
One critical aspect before assessing the geotechnical system deformation or stability conditions (responses) is the determination of the limit state surface numerically represented by limit state functions (or performance functions). In many complicated and nonlinear problems where the analyses involve the use of numerical procedures such as the finite
openaire +1 more source
Surrogate-Agent Modeling for Improved Training
2014Computer-aided practice can help improve personnel training for demanding scenarios in terms of time and quality. In this paper, we concentrate on asymmetrical conflicts, such as a unit that deals with hostile crowds robbing a store, with the aim of preventing further criminal activity and at the same time minimizing physical and emotional damage.
Ales Tavcar +4 more
openaire +1 more source
Optimization with Surrogate Models
2013In this chapter, we show how artificial curiosity can be used to focus on the most pertinent search points in black-box optimization. We present a novel response surface method, which employs a memory-based model to estimate the interestingness of each candidate point using Gaussian process regression.
openaire +1 more source
Adaptive vectorial surrogate modeling framework for multi-objective reliability estimation
Reliability Engineering and System Safety, 2023Cheng Lu, Da Teng, Jun-Yu Chen
exaly
Fundamentals of Surrogate Modeling and Surrogate-Assisted Optimization
2023Anna Pietrenko-Dabrowska +1 more
openaire +1 more source
Surrogate modeling of pantograph-catenary system interactions
Mechanical systems and signal processingYao Cheng +7 more
semanticscholar +1 more source