Multiple response surface methods in computer simulation

DOI10.1177/003754977702900406zbMath0363.68136OpenAlexW1974722430MaRDI QIDQ4138199

Vernon M. Jun. Bettencourt, Douglas C. Montgomery

Publication date: 1977

Published in: SIMULATION (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1177/003754977702900406

Mathematics Subject Classification ID

Related Items (13)

An interactive desirability function method to multiresponse optimization ⋮ A simulation optimization method that considers uncertainty and multiple performance measures ⋮ Dynamic simulation metamodeling using Mars: a case of radar simulation ⋮ Optimizing discrete event dynamic systems via the gradient surface method ⋮ Mean square error criteria to multiresponse process optimization by a new genetic algorithm ⋮ Design of manufacturing systems by a hybrid approach with neural network metamodelling and stochastic local search ⋮ Interactive multiple objective optimization: Survey. I: Continuous case ⋮ New modifications and applications of fuzzy \(C\)-means methodology ⋮ Response surface methodology: A neural network approach ⋮ Tutorial ⋮ Fuzzy controlled simulation optimization ⋮ A methodology for solving multi-objective simulation-optimization problems ⋮ Design of Experiments in Simulation

Cites Work

• The Created Response Surface Technique for Optimizing Nonlinear, Restrained Systems
• Second-order response surface designs in computer simulation
• An Interactive Approach for Multi-Criterion Optimization, with an Application to the Operation of an Academic Department
• Interactive Goal Programming
• A Time-Sharing Computer Program for the Solution of the Multiple Criteria Problem
• An Algorithm for Solving Multicriterion Linear Programming Problems with Examples

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