Surrogate-Assisted Artificial Immune Systems for Expensive Optimization Problems

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Multiobjective global surrogate modeling, dealing with the 5-percent problem

When dealing with computationally expensive simulation codes or process measurement data, surrogate modeling methods are firmly established as facilitators for design space exploration, sensitivity analysis, visualization, prototyping and optimization. Typically the model parameter (=hyperparameter) optimization problem as part of global surrogate modeling is formulated in a single objective way. Models are generated according to a single objective (accuracy). However, this requires an engineer to determine a single accuracy target and measure upfront, which is hard to do if the behavior of the response is unknown. Likewise, the different outputs of a multi-output system are typically modeled separately by independent models. Again, a multiobjective approach would benefit the domain expert by giving information about output correlation and enabling automatic model type selection for each output dynamically. With this paper the authors attempt to increase awareness of the subtleties involved and discuss a number of solutions and applications. In particular, we present a multiobjective framework for global surrogate model generation to help tackle both problems and that is applicable in both the static and sequential design (adaptive sampling) case

Evolutionary Computation

This book presents several recent advances on Evolutionary Computation, specially evolution-based optimization methods and hybrid algorithms for several applications, from optimization and learning to pattern recognition and bioinformatics. This book also presents new algorithms based on several analogies and metafores, where one of them is based on philosophy, specifically on the philosophy of praxis and dialectics. In this book it is also presented interesting applications on bioinformatics, specially the use of particle swarms to discover gene expression patterns in DNA microarrays. Therefore, this book features representative work on the field of evolutionary computation and applied sciences. The intended audience is graduate, undergraduate, researchers, and anyone who wishes to become familiar with the latest research work on this field

Development of a One-Equation Eddy Viscosity Turbulence Model for Application to Complex Turbulent Flows

Computational fluid dynamics (CFD) is routinely used in performance prediction and design of aircraft, turbomachinery, automobiles, and in many other industrial applications. Despite its wide range of use, deficiencies in its prediction accuracy still exist. One critical weakness is the accurate simulation of complex turbulent flows using the Reynolds-Averaged Navier-Stokes equations in conjunction with a turbulence model. The goal of this research has been to develop an eddy viscosity type turbulence model to increase the accuracy of flow simulations for mildly separated flows, flows with rotation and curvature effects, and flows with surface roughness. It is accomplished by developing a new zonal one-equation turbulence model which relies heavily on the flow physics; it is now known in the literature as the Wray-Agarwal one-equation turbulence model. The effectiveness of the new model is demonstrated by comparing its results with those obtained by the industry standard one-equation Spalart-Allmaras model and two-equation Shear-Stress-Transport k – ω model and experimental data. Results for subsonic, transonic, and supersonic flows in and about complex geometries are presented. It is demonstrated that the Wray-Agarwal model can provide the industry and CFD researchers an accurate, efficient, and reliable turbulence model for the computation of a large class of complex turbulent flows

Development of Multi-Scale, Multi-Physics, Analysis Capability and its Application to Novel Heat Exchanger Design and Optimizaiton

Heat exchanger development using enhanced heat transfer surface designs and optimization techniques is a continuing effort that is constrained by current state of the art technology. Assessment of novel geometries and concepts are currently limited to experimental and numerical investigations on discrete levels. This dissertation aims at the advancement of the heat exchanger technology through the development of multi-scale multi-physics simulation tools for conventional and novel heat exchanger designs. A unified heat exchanger design and optimization framework was developed. This framework integrates the multi-scale multi-physics simulation capabilities with previously developed approximation assisted optimization techniques. The optimized designs are then interpreted in order to provide design guidelines for next generation air-to-water heat exchangers. These capabilities required the development of: (a) generic ε − NTU solver capable of analyzing the performance under geometrical variability, (b) systematic integration approach for CFD simulation at the segment level with the ε − NTU solver at the heat exchanger level, (c) refrigerant distribution analysis tool. The developed simulation tools were verified numerically using systematic techniques adopted from literature and validated experimentally using measured data from a prototype heat exchanger. The structural integrity under conventional operating pressures of the novel heat exchanger design was analyzed using FEM for different tube materials and different wall thicknesses. Finally, existing single phase water flow in microtubes correlations were investigated numerically. The best matching correlation was selected for incorporation within the multi-scale simulation tool. The approach described in this dissertation for the design and optimization of novel and conventional heat exchanger designs resulted in significant improvements over the current state of the art. Example performance improvements achieved in this dissertation show potential for 84 percent material savings and 61 percent volume savings for the same airside and refrigerant side pressure drop. The experimental investigations were in good agreement with the simulation results and demonstrated the superior performance of the novel design