4.7 Article

Experimental Case Study of Stochastic Surrogate-Assisted Engine Calibration

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Automation & Control Systems

Constrained Surrogate-Based Engine Calibration Using Lower Confidence Bound

Anuj Pal et al.

Summary: This article proposes a methodology to perform engine calibration using surrogate assisted optimization for diesel engines, optimizing engine efficiency and emissions by calibrating three control variables. Kriging surrogate models and a nondominated sorting algorithm are used for optimization, resulting in optimal points close to true Pareto optimal front.

IEEE-ASME TRANSACTIONS ON MECHATRONICS (2021)

Article Automation & Control Systems

Multi-Objective Surrogate-Assisted Stochastic Optimization for Engine Calibration

Anuj Pal et al.

Summary: The surrogate-assisted optimization approach is effective in handling stochastic problems with multiple objectives and constraints, resulting in good optimization results with reduced evaluation budget.

JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME (2021)

Article Automation & Control Systems

Multiobjective Overtaking Maneuver Planning for Autonomous Ground Vehicles

Runqi Chai et al.

Summary: A novel swarm intelligence-based algorithm is proposed for generating multiobjective optimal overtaking trajectories of autonomous ground vehicles. The algorithm optimizes maneuver time duration, trajectory smoothness, and vehicle visibility while considering different types of constraints.

IEEE TRANSACTIONS ON CYBERNETICS (2021)

Article Thermodynamics

Multi-zone reaction-based modeling of combustion for multiple-injection diesel engines

Yifan Men et al.

INTERNATIONAL JOURNAL OF ENGINE RESEARCH (2020)

Article Management

A multiobjective stochastic simulation optimization algorithm

Sebastian Rojas Gonzalez et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2020)

Article Computer Science, Interdisciplinary Applications

Multi-objective Bayesian optimization of chemical reactor design using computational fluid dynamics

Seongeon Park et al.

COMPUTERS & CHEMICAL ENGINEERING (2018)

Article Transportation Science & Technology

Multi-Objective Optimization of Fuel Injection Pattern for a Light-Duty Diesel Engine through Numerical Simulation

Andrea Piano et al.

SAE INTERNATIONAL JOURNAL OF ENGINES (2018)

Article Management

Comparison of Kriging-based algorithms for simulation optimization with heterogeneous noise

Hamed Jalali et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2017)

Article Computer Science, Interdisciplinary Applications

Estimation of the Pareto front in stochastic simulation through stochastic Kriging

Jianxia Zhang et al.

SIMULATION MODELLING PRACTICE AND THEORY (2017)

Article Automation & Control Systems

Performance Analysis, Mapping, and Multiobjective Optimization of a Hybrid Robotic Machine Tool

Zhen Gao et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2015)

Article Computer Science, Interdisciplinary Applications

A benchmark of kriging-based infill criteria for noisy optimization

Victor Picheny et al.

STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2013)

Article Statistics & Probability

Quantile-Based Optimization of Noisy Computer Experiments With Tunable Precision

Victor Picheny et al.

TECHNOMETRICS (2013)

Article Computer Science, Artificial Intelligence

Surrogate-assisted evolutionary computation: Recent advances and future challenges

Yaochu Jin

SWARM AND EVOLUTIONARY COMPUTATION (2011)

Article Management

Stochastic Kriging for Simulation Metamodeling

Bruce Ankenman et al.

OPERATIONS RESEARCH (2010)

Article Operations Research & Management Science

Global optimization of stochastic black-box systems via sequential kriging meta-models

D Huang et al.

JOURNAL OF GLOBAL OPTIMIZATION (2006)