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![Pattern Search Ranking and Selection Algorithms for Mixed-Variable Optimization of Stochastic Systems]( "Pattern Search Ranking and Selection Algorithms for Mixed-Variable Optimization of Stochastic Systems")
Pattern Search Ranking and Selection Algorithms for Mixed-Variable Optimization of Stochastic Systems60,99 €![A Computer Investigation of a Lobed-Mixer Fuel-Injection Strut in a Scramjet Engine Model]( "A Computer Investigation of a Lobed-Mixer Fuel-Injection Strut in a Scramjet Engine Model")
A Computer Investigation of a Lobed-Mixer Fuel-Injection Strut in a Scramjet Engine Model60,99 €![Quantitative Object Reconstruction Using Abel Transform Tomography and Mixed Variable Optimization]( "Quantitative Object Reconstruction Using Abel Transform Tomography and Mixed Variable Optimization")
Quantitative Object Reconstruction Using Abel Transform Tomography and Mixed Variable Optimization60,99 €![Improving Mixed Variable Optimization of Computational and Model Parameters Using Multiple Surrogate Functions]( "Improving Mixed Variable Optimization of Computational and Model Parameters Using Multiple Surrogate Functions")
Improving Mixed Variable Optimization of Computational and Model Parameters Using Multiple Surrogate Functions60,99 €![Optimization of a Multi-Echelon Repair System Via Generalized Pattern Search with Ranking and Selection: A Computational Study]( "Optimization of a Multi-Echelon Repair System Via Generalized Pattern Search with Ranking and Selection: A Computational Study")
Optimization of a Multi-Echelon Repair System Via Generalized Pattern Search with Ranking and Selection: A Computational Study60,99 €![On the Use of Surrogate Functions for Mixed Variable Optimization of Simulated Systems]( "On the Use of Surrogate Functions for Mixed Variable Optimization of Simulated Systems")
On the Use of Surrogate Functions for Mixed Variable Optimization of Simulated Systems60,99 €![Cycle Performance of a Pulse Detontation Engine with Supercritical Fuel Injection]( "Cycle Performance of a Pulse Detontation Engine with Supercritical Fuel Injection")
Cycle Performance of a Pulse Detontation Engine with Supercritical Fuel Injection60,99 €
Fuel-air mixing analysis of scramjet aircraft is often performed through experimental research or computational -uid dynamics (cfd) algorithms. Design optimization with these approaches is often impossible under a limited budget due to their high cost per run. This investigation uses jetpen, a known inexpensive analysis tool, to build upon a previous case study of scramjet design optimization. Mixed Variable Pattern Search (mvps) is compared to evolutionary algorithms in the optimization of two scramjet designs. The rst revisits the previously studied approach and compares the quality of mvps to prior results. The second applies mvps to a new scramjet design in support of the Hypersonic International Flight Research Experimentation (hifire). The results demonstrate the superiority of mvps over evolutionary algorithms and paves the way for design optimization with more expensive approaches.