Results 21 to 30 of about 3,492,516 (198)
Robust Optimization for Combinatorial Optimization Problems [PDF]
Many combinatorial optimization problems arising in real-world applications do not have accurate estimates of the problem parameters when the optimization decision is taken. Stochastic programming and robust optimization are two common approaches for the
WU, Wei, 呉, 偉
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Robust optimization in simulation: Taguchi and Krige combined [PDF]
Optimization of simulated systems is the goal of many methods, but most methods assume known environments. We, however, develop a "robust" methodology that accounts for uncertain environments.
Jack P. C. Kleijnen +9 more
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Probabilistic Guarantees in Robust Optimization [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dimitris Bertsimas +2 more
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Robust optimization utilizing the second-order design sensitivity information [PDF]
This paper presents an effective methodology for robust optimization of electromagnetic devices. To achieve the goal, the method improves the robustness of the minimum of the objective function chosen as a design solution by minimizing the second-order ...
Kim, Heung-Geun +11 more
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The Furnace Exit Gas Temperature (FEGT) is a key parameter of the combustion process in utility boilers that needs to be accurately monitored, especially in order to increase their load- and fuel-flexibility.
J. Blondeau +4 more
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Robust inverse optimization [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kimia Ghobadi +3 more
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Optimal Design of Electrically Fed Hybrid Mars Ascent Vehicle
The optimal design of the propulsion system for a potential Mars Ascent Vehicle is analyzed, in the context of the Mars Sample Return Mission. The Mars Ascent Vehicle has to perform an initial ascent phase from the surface and then circularize into a 170
Lorenzo Casalino +2 more
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Robust Optimization for Electricity Generation [PDF]
We consider a robust optimization problem in an electric power system under uncertain demand and availability of renewable energy resources. Solving the deterministic alternating current (AC) optimal power flow (ACOPF) problem has been considered challenging since the 1960s due to its nonconvexity. Linear approximation of the AC power flow system sees
Haoxiang Yang +3 more
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Development of a variance prioritized multiresponse robust design framework for quality improvement [PDF]
Robust design is a well-known quality improvement method that focuses on building quality into the design of products and services. Yet, most well established robust design models only consider a single performance measure and their prioritization ...
Antony, Jiju +2 more
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Multi-objective topology design optimization combined with robust optimization
Topology optimization (TO), which is a design optimization technique that does not require design parameters, has been attracting attention. TO has a high degree of freedom and can obtain a novel design shape suitable for desired purposes.
Akito MARUO +4 more
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