Search
Search Results
-
A proportional expected improvement criterion-based multi-fidelity sequential optimization method
Multi-fidelity surrogate models fusing data from different fidelity systems can significantly reduce the computational cost while ensuring the model...
-
AVEI-BO: an efficient Bayesian optimization using adaptively varied expected improvement
Bayesian optimization (BO) finds the optimum by iteratively updating a surrogate model to approximate the complex objective function and constructing...
-
A sequential multi-fidelity surrogate-based optimization methodology based on expected improvement reduction
This paper presents a novel computation-aware multi-fidelity surrogate-based optimization (MFSBO) methodology and a new sequential and adaptive...
-
Parallel multi-fidelity expected improvement method for efficient global optimization
Multi-fidelity optimization (MFO) has received extensive attentions in engineering design, which resorts to augmenting the small number of expensive...
-
A fast active learning method in design of experiments: multipeak parallel adaptive infilling strategy based on expected improvement
Surrogate models are widely used in simulation-based engineering design. The distribution of samples directly determines the quality and efficiency...
-
A multi-fidelity Bayesian optimization approach based on the expected further improvement
Sampling efficiency is important for simulation-based design optimization. While Bayesian optimization (BO) has been successfully applied in...
-
Ground Improvement Techniques for Soft Soil
A large number of ground improvement methods are available that can be adopted to treat poor soil site conditions. Several of these methods have been...
-
Improvement of Energy Efficiency and Eco-improvement of Heating Equipment
The actual problem concerning energy efficiency and eco-improvement of heating equipment is considered. The tasks of the program of energy efficiency...
-
Hybrid Environmentally Friendly Method for RCA Concrete Quality Improvement
Research on concrete recycling has led to the discovery of many processes for recycled concrete aggregate (RCA) treatment, each with its pros and...
-
Six Sigma Application on Software Improvement Process
This study proposes a quality development method based on six sigma to solve software quality problems of the software. The six sigma DMADV framework...
-
Improvement of outpatient service processes: a case study of the university of Hong Kong-Shenzhen hospital
PurposeThis work presents a case study of the University of Hong Kong-Shenzhen Hospital (HKU-SZH), which was the first to implement an outpatient...
-
A regression analysis of the impact of routing and packing dependencies on the expected runtime
Problems with multiple interdependent components offer a better representation of the real-world situations where globally optimal solutions are...
-
Indicators and Data in Spain Regarding Evidence-Based Estimate of Expected Energy Savings and of Reduction of Costs for Health Systems from Buildings Renovation
Europe is setting ambitious targets for decarbonization by the year 2050. These goals are essential for mitigating the impact of climate change and...
-
Rank-Dependent Expected Utility Game Analysis of Public-Private Partnership Project Operation Supervision Considering the Influence of Emotion
Public-private partnership (PPP) projects have been widely adopted in infrastructure construction. Owing to the professional operation capabilities...
-
Does friction contribute to formability improvement using servo press?
Servo press forming machines are advanced forming systems that are capable of imparting interrupted punch motion, resulting in enhanced room...
-
EMSRtrc: relaxation of booking limits by total revenue control for expected marginal seat revenue
The Covid-19 pandemic has negatively affected life worldwide and caused catastrophic loss of life. It has also been harming the economic activities...
-
Aerodynamic performance improvement of the centrifugal compressor employing the elastic deformation theory
Parameterization is a prerequisite for optimizing compressor performance. Traditional parametric methods often require many variables to characterize...
-
Expected Lenient Q-learning: a fast variant of the Lenient Q-learning algorithm for cooperative stochastic Markov games
Lenient Multiagent Reinforcement Learning 2 (LMRL2) is an Independent Learners Algorithm for cooperative multiagent systems that is known to...
-
Performance Improvement of Semantic Search Using Sentence Embeddings by Dimensionality Reduction
Semantic search, which searches for sentences with a high similarity in meaning to that of queries, allows a user to search for the desired sentences...
-
Prioritizing highway safety improvement projects using a stochastic optimization model with robust constraints
Road authorities need efficient tools to assign a limited budget to safety improvement projects. The process of prioritizing safety improvement...
