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《机械工程前沿(英文)》 2014年 第9卷 第3期 页码 257-264 doi: 10.1007/s11465-014-0294-x
Robustness in most of the literature is associated with min-max or min-max regret criteria. However, these criteria of robustness are conservative and therefore recently new criteria called, lexicographic α-robust method has been introduced in literature which defines the robust solution as a set of solutions whose quality or jth largest cost is not worse than the best possible jth largest cost in all scenarios. These criteria might be significant for robust optimization of single objective optimization problems. However, in real optimization problems, two or more than two conflicting objectives are desired to optimize concurrently and solution of multi objective optimization problems exists in the form of a set of solutions called Pareto solutions and from these solutions it might be difficult to decide which Pareto solution can satisfy min-max, min-max regret or lexicographic α-robust criteria by considering multiple objectives simultaneously. Therefore, lexicographic α-robust method which is a recently introduced method in literature is extended in the current research for Pareto solutions. The proposed method called Pareto lexicographic α-robust approach can define Pareto lexicographic α-robust solutions from different scenarios by considering multiple objectives simultaneously. A simple example and an application of the proposed method on a simple problem of multi objective optimization of simple assembly line balancing problem with task time uncertainty is presented to get their robust solutions. The presented method can be significant to implement on different multi objective robust optimization problems containing uncertainty.
Target-oriented robust optimization of a microgrid system investment model
Lanz UY, Patric UY, Jhoenson SIY, Anthony Shun Fung CHIU, Charlle SY
《能源前沿(英文)》 2018年 第12卷 第3期 页码 440-455 doi: 10.1007/s11708-018-0563-1
An emerging alternative solution to address energy shortage is the construction of a microgrid system. This paper develops a mixed-integer linear programming microgrid investment model considering multi-period and multi-objective investment setups. It further investigates the effects of uncertain demand by using a target-oriented robust optimization (TORO) approach. The model was validated and analyzed by subjecting it in different scenarios. As a result, it is seen that there are four factors that affect the decision of the model: cost, budget, carbon emissions, and useful life. Since the objective of the model is to maximize the net present value (NPV) of the system, the model would choose to prioritize the least cost among the different distribution energy resources (DER). The effects of load uncertainty was observed through the use of Monte Carlo simulation. As a result, the deterministic model shows a solution that might be too optimistic and might not be achievable in real life situations. Through the application of TORO, a profile of solutions is generated to serve as a guide to the investors in their decisions considering uncertain demand. The results show that pessimistic investors would have lower NPV targets since they would invest more in storage facilities, incurring more electricity stock out costs. On the contrary, an optimistic investor would tend to be aggressive in buying electricity generating equipment to meet most of the demand, however risking more storage stock out costs.
关键词: microgrid renewable resources robust optimization target-oriented robust optimization
Xueyan TANG, I-Ming CHEN
《机械工程前沿(英文)》 2009年 第4卷 第1期 页码 25-34 doi: 10.1007/s11465-009-0004-2
关键词: robust control flexure mechanisms flexure-based micromanipulator
Shape design of arch dams under load uncertainties with robust optimization
Fengjie TAN, Tom LAHMER
《结构与土木工程前沿(英文)》 2019年 第13卷 第4期 页码 852-862 doi: 10.1007/s11709-019-0522-x
关键词: arch dam shape optimization robust optimization load uncertainty approximation model
Reliability-based robust design optimization of vehicle components, Part I: Theory
Yimin ZHANG
《机械工程前沿(英文)》 2015年 第10卷 第2期 页码 138-144 doi: 10.1007/s11465-015-0333-2
The reliability-based design optimization, the reliability sensitivity analysis and robust design method are employed to present a practical and effective approach for reliability-based robust design optimization of vehicle components. A procedure for reliability-based robust design optimization of vehicle components is proposed. Application of the method is illustrated by reliability-based robust design optimization of axle and spring. Numerical results have shown that the proposed method can be trusted to perform reliability-based robust design optimization of vehicle components.
关键词: vehicle components reliability-based design optimization reliability-based sensitivity analysis multi-objective optimization robust design
Analytical approach to robust design of nonlinear mechanical systems
Jian ZHANG, Nengsheng BAO, Guojun ZHANG, Peihua GU
《机械工程前沿(英文)》 2009年 第4卷 第2期 页码 203-214 doi: 10.1007/s11465-009-0022-0
Reliability-based robust design optimization of vehicle components, Part II: Case studies
Yimin ZHANG
《机械工程前沿(英文)》 2015年 第10卷 第2期 页码 145-153 doi: 10.1007/s11465-015-0334-1
The reliability-based optimization, the reliability-based sensitivity analysis and robust design method are employed to propose an effective approach for reliability-based robust design optimization of vehicle components in Part I. Applications of the method are further discussed for reliability-based robust optimization of vehicle components in this paper. Examples of axles,torsion bar, coil and composite springs are illustrated for numerical investigations. Results have shown the proposed method is an efficient method for reliability-based robust design optimization of vehicle components.
关键词: vehicle axles and springs reliability-based design optimization reliability-based sensitivity analysis multi-objective optimization robust design
《工程管理前沿(英文)》 页码 67-81 doi: 10.1007/s42524-022-0240-2
关键词: logistics network design post-disruption response strategy two-stage stochastic programming conditional value at risk robust constraint
Jidong WANG, Boyu CHEN, Peng LI, Yanbo CHE
《能源前沿(英文)》 2020年 第14卷 第2期 页码 254-266 doi: 10.1007/s11708-020-0665-4
关键词: distributionally robust optimization (DRO) home energy management system (HEMS) receding horizon optimization (RHO) uncertainties
Juan LIU, Fei QIAO, Yumin MA, Weichang KONG
《工程管理前沿(英文)》 2018年 第5卷 第4期 页码 507-514 doi: 10.15302/J-FEM-2018045
The NP-hard scheduling problems of semiconductor manufacturing systems (SMSs) are further complicated by stochastic uncertainties. Reactive scheduling is a common dynamic scheduling approach where the scheduling scheme is refreshed in response to real-time uncertainties. The scheduling scheme is overly sensitive to the emergence of uncertainties because the optimization of performance (such as minimum make-span) and the system robustness cannot be achieved simultaneously by conventional reactive scheduling methods. To improve the robustness of the scheduling scheme, we propose a novel slack-based robust scheduling rule (SR) based on the analysis of robustness measurement for SMS with uncertain processing time. The decision in the SR is made in real time given the robustness. The proposed SR is verified under different scenarios, and the results are compared with the existing heuristic rules. Simulation results show that the proposed SR can effectively improve the robustness of the scheduling scheme with a slight performance loss.
关键词: semiconductor manufacturing system uncertain processing time dynamic scheduling slack-based robust scheduling rule
Robust design of configurations and parameters of adaptable products
Jian ZHANG,Yongliang CHEN,Deyi XUE,Peihua GU
《机械工程前沿(英文)》 2014年 第9卷 第1期 页码 1-14 doi: 10.1007/s11465-014-0296-8
An adaptable product can satisfy different customer requirements by changing its configuration and parameter values during the operation stage. Design of adaptable products aims at reducing the environment impact through replacement of multiple different products with single adaptable ones. Due to the complex architecture, multiple functional requirements, and changes of product configurations and parameter values in operation, impact of uncertainties to the functional performance measures needs to be considered in design of adaptable products. In this paper, a robust design approach is introduced to identify the optimal design configuration and parameters of an adaptable product whose functional performance measures are the least sensitive to uncertainties. An adaptable product in this paper is modeled by both configurations and parameters. At the configuration level, methods to model different product configuration candidates in design and different product configuration states in operation to satisfy design requirements are introduced. At the parameter level, four types of product/operating parameters and relations among these parameters are discussed. A two-level optimization approach is developed to identify the optimal design configuration and its parameter values of the adaptable product. A case study is implemented to illustrate the effectiveness of the newly developed robust adaptable design method.
关键词: adaptable product robust design optimization uncertainties
Gas marbles: ultra-long-lasting and ultra-robust bubbles formed by particle stabilization
《化学科学与工程前沿(英文)》 页码 1681-1687 doi: 10.1007/s11705-022-2180-0
关键词: bubble particles interfaces armored bubble liquid marble gas marble Pickering emulsion
AGCD: a robust periodicity analysis method based on approximate greatest common divisor
Juan YU,Pei-zhong LU
《信息与电子工程前沿(英文)》 2015年 第16卷 第6期 页码 466-473 doi: 10.1631/FITEE.1400345
关键词: Periodicity analysis Period detection Sparsity Noise Approximate greatest common divisor (AGCD)
Robust isogeometric topology optimization for piezoelectric actuators with uniform manufacturability
《机械工程前沿(英文)》 2022年 第17卷 第2期 doi: 10.1007/s11465-022-0683-5
关键词: piezoelectric actuator isogeometric topology optimization uniform manufacturability robust formulation density distribution function
《工程管理前沿(英文)》 2021年 第8卷 第4期 页码 595-614 doi: 10.1007/s42524-021-0173-1
关键词: robust train speed profile percentile reliability model scenario-based position–time–speed network mixed-integer programming
标题 作者 时间 类型 操作
Pareto lexicographic α-robust approach and its application in robust multi objective assembly line balancing
null
期刊论文
Target-oriented robust optimization of a microgrid system investment model
Lanz UY, Patric UY, Jhoenson SIY, Anthony Shun Fung CHIU, Charlle SY
期刊论文
Shape design of arch dams under load uncertainties with robust optimization
Fengjie TAN, Tom LAHMER
期刊论文
Analytical approach to robust design of nonlinear mechanical systems
Jian ZHANG, Nengsheng BAO, Guojun ZHANG, Peihua GU
期刊论文
Reliability-based robust design optimization of vehicle components, Part II: Case studies
Yimin ZHANG
期刊论文
Two-stage stochastic programming with robust constraints for the logistics network post-disruption response
期刊论文
Distributionally robust optimization of home energy management system based on receding horizon optimization
Jidong WANG, Boyu CHEN, Peng LI, Yanbo CHE
期刊论文
Novel slack-based robust scheduling rule for a semiconductor manufacturing system with uncertain processing
Juan LIU, Fei QIAO, Yumin MA, Weichang KONG
期刊论文
Robust design of configurations and parameters of adaptable products
Jian ZHANG,Yongliang CHEN,Deyi XUE,Peihua GU
期刊论文
AGCD: a robust periodicity analysis method based on approximate greatest common divisor
Juan YU,Pei-zhong LU
期刊论文
Robust isogeometric topology optimization for piezoelectric actuators with uniform manufacturability
期刊论文