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About 10,000 papers for “experimental optimization”

Budget-constrained experimental optimization

Athar Roshandelpoor · OpenBU (Boston University) · 2021

Many problems of design and operation in science and engineering can be formulated as optimization of a properly defined performance/objective function over a design space. This thesis considers optimization problems where information about the performance function can be obtained only through experimentation/function evaluation, in other words, optimization of black box functions. Furthermore, it is assumed that the optimization is performed with limited budget, namely, where only a limited number of function evaluations are feasible. Two classes of optimization approaches are considered. The first, consisting of Design of Experiment (DOE) and Response Surface Methodology (RSM), explores the design space locally by identifying directions of improvement and incrementally moving towards the optimum. The second, referred to as Bayesian Optimization (BO), corresponds to a global search of the design space based on a stochastic model of the function over the design space that is updated after each experimentation/function evaluation. Two independent projects related to the above optimization approaches are reported in the thesis. The first, the result of a collaborative effort with experimental and computational material scientists, involves adaptations of the above approaches in order to solve two specific new materials development projects. The goal of the first project was to develop an integrated computational-statistical-experimental methodology for calibration of an activated carbon adsorption bed. The second project consisted of the application and modification of existing DOE approaches to a highly data limited environment. The second part consists of a new contribution to the methodology of Bayesian Optimization (BO) by significantly generalizing a non-myopic approach to BO. Different BO algorithms vary based on their choice of stochastic model of the unknown objective function, referred to as the surrogate model, and that of the so-called acquisition function, which often represents an expected utility of sampling at various points of the design space. Various myopic BO approaches which evaluate the benefit of taking only a single sample from the objective function have been considered in the literature. More recently, a number of non-myopic approaches have been proposed that go beyond evaluating the benefit of a single sample. In this thesis, a non-myopic approach/algorithm, referred to as z* policy, is considered that takes a different approach to evaluating the benefits of sampling. The resulting search approach is motivated by a non-myopic index policy in a sequential sampling problem that is shown to be optimal in a non-adaptive setting. An analysis of the z* policy is presented and it is placed within the broader context of non-myopic policies. Finally, using empirical evaluations, it is shown that in some instances the z* policy outperforms a number of other commonly used myopic and non-myopic policies.

Cited by 0

Optimization of Experimental Lunar Payloads

Edwin M. Bartee · Management Science · 1967

The scientific exploration of the moon requires that a number of experiments be conducted for the purpose of investigating the many questions and hypotheses posed by nearly every discipline in the scientific community. The broad interest in this effort, the limitations of time and resources for conducting the program, and the complex engineering constraints imposed by the logistics system justify the development of an effective method of making optimum selection of experiments according to the most meaningful criteria. The developed method provides a determination of alternate optimum solutions from which scientific authority may choose. Basic lunar scientific objectives, as determined by NASA interdisciplinary panels, serve as inputs to the system. The relative worth of each objective according to scientific merit is determined by a stratified, intradisciplinary sample of the scientific community using a modified majority-rule technique. The experiments are then ordered according to their contribution to the ordered objectives. A subjective programming method provides alternate payload choices that optimize the scientific merit of the experiments within the engineering constraints of a lunar IMjdoad. An example is presented that simulates the use of an algorithm for sdecting an optimum experiment pajdoad.

Cited by 6

Direct Optimization of Experimental Designs

Jānis Auziņš · 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference · 2004

'criterion, entropy criterion, discrepancy criterion and others can be used . Univariate relaxation and coordinate exchange algorithm with improved multis tart is used for optimization. The effectiveness of this algorithm is shown for searching of D-optimal design s with continuous and 3 -level discrete parameters in 3 -15 dimensions with 10 to 300 runs (45 to 4500 optimization parameters) and for optimization of Latin hypercube designs according to several criteria. The optimized designs are compared on many metamodeling test problems. For the case of second order local polynomial approximation, the use of MSE -optimal Latin hypercube designs and modified Gauss ian weighting function is proposed.

Cited by 21

Experimental Method of Topology Optimization

Avilasha B. G., Ramakrishna D. S. · 2025

Abstract Topology optimization plays a pivotal role in designing lightweight and efficient structures, particularly in resource-constrained environments. While computational methods like finite element analysis (FEA) and density-based approaches are widely used, the potential of experimental techniques, such as photoelasticity, remains underexplored. This study investigates the application of whole-field photoelasticity for topology optimization to achieve material reduction. By analyzing isochromatic fringe patterns to identify stress distributions, material is strategically removed from low-stress regions, resulting in optimized structures. The performance of the photoelasticity method is compared against numerical techniques, specifically HyperWorks’ OptiStruct software, across four structural applications. Results demonstrate that the photoelasticity approach achieves material reductions comparable to computational methods while maintaining structural integrity. hand brake lever in racing cars, the photoelasticity method achieved a 25.88% material reduction and an 8.38% stress increase, compared to 32.29% reduction and 13.79% stress increase using OptiStruct. These findings validate the feasibility of using photoelasticity for topology optimization, offering substantial material savings with controlled increases in stress levels. By providing an effective experimental alternative to numerical approaches, the photoelasticity method broadens the toolkit for optimizing structural designs, enabling resource-efficient and high-performance solutions.

Cited by 0

Experimental optimization of statistical simulation

David L. Eldredge · 1974

Although simulation involves solving a mathematical model through experimentation, the literature of simulation does not reflect a broad, sustained interest in the design of simulation experiments. The objective of this paper is to fulfill a part of this need by suggesting a general five-phase experimental approach for determining the optimum for a particular, but common, type of simulation problem. The majority of the suggested procedure makes use of existing design and analysis techniques. However, the problem of multimodal simulation outcomes has resulted in the development of the “random factorial” experimental design. This design is a combination of a complete factorial design and a random balance design. The majority of the paper is devoted to a discussion of the use of this design approach for solving the multimodal problem.

Cited by 13Open access

Experimental optimization during SERS application

Ranjit Laha, Gour Mohan Das, Pranay Ranjan et al. · AIP conference proceedings · 2018

The well known surface enhanced Raman scattering (SERS) needs a lot of experimental optimization for its proper implementation. In this report, we demonstrate the efficient SERS using gold nanoparticles (AuNPs) on quartz plate. The AuNPs were prepared by depositing direct current sputtered Au thin film followed by suitable annealing. The parameters varied for getting best SERS effect were 1) Numerical Aperture of Raman objective lens and 2) Sputtering duration of Au film. It was found that AuNPs formed from the Au layer deposited for 40s and Raman objective lens of magnification 50X are the best combination for obtaining efficient SERS effect.

Cited by 0

Constrained Optimization of Experimental Design

Dennis Cook, Valery Fedorov · 1995

This is an attempt to discuss various approaches developed in experimental design when some constraints are imposed. The constraints may be on the total cost of the experiment, the location of the supporting point, the value of the auxiliary objective functions, and so on. The basic idea of the paper is that corresponding optimization problems can be imbedded in the convex theory of experimental design. Part 1 is concerned with the properties of optimal designs, while Part 2 is devoted mainly to numerical methods. We have tried to avoid detail emphasizing ideas rather than technicalities. This is not intended as a literature review. The authors subjectively, surely left many excellent papers behind. 1 Equivalence Theorems 1.1 Introduction Experimental design problems considered in this paper are basically related to the standard linear regression model: y ij = j(x i ; `) + ffl ij ; (1) i = 1; : : : ; n; j = 1; : : : ; r i ; \\Sigmar i = N; j(x; `) = ` T f(x) where `fflR m are ...

Cited by 0

Experimental Design and Optimization of

Biogas Production · 2016

Avfallet i Sverige och Europa ökar för varje år. Svenska hushåll producerar 2,7 miljoner ton avfall årligen. På grund av hårda lagar återvinns dock merparten som material eller energi. Sveriges regering har dock som mål att öka den biologiska behandlingen av matavfall och även att öka landets totala biogasproduktion. Tillsammans innebär dessa mål att anaerobisk (syrefri) rötning av avfall måste öka. Ett ökat metanutbyte från det rötade avfallet är också av betydelse för målens uppfyllnad. Ungefär 45 % av hushållsavfallet innehåller lignocellulosa. Lignocellulosa innefattar de vanligaste förnyelsebara materialen i världen. I detta examensarbete undersöker författaren hur man genom hydrolys kan öka nedbrytbarheten av pappersavfall från en industri. Syftet med arbetet var att finna en effektiv förbehandlingsmetod för pappersavfallet samt att undersöka vid vilka nivåer de ingående faktorerna hade störst påverkan. En litteraturstudie följdes av en serie experiment med målet att finna de optimala parametrarna för förbehandling av industriellt pappersavfall som ökar nedbrytbarheten av pappret och därmed ökar biogasproduktionen. För studien valdes tre förbehandlingsmetoder ut för hydrolysering av papper och en försöksplanering utformades. Metoderna var behandling med hetvatten, alkali (natriumhydroxid) och våtoxidering

Cited by 0

Optimization of the experimental procedure.

Yuxiang Liu (290490), Xinzhong Xia (21526451), Jingyang Zhang (296878) et al. · Figshare · 2025

<div> This study presents a systematic approach to enhance the efficiency of monocrystalline silicon photovoltaic module assembly lines using advanced simulation modeling. The research focuses on developing a high-fidelity virtual model of the production line to replicate its physical layout, workflow sequences, and equipment interactions. Key assembly stages—including string welding, stacking, laminating, framing, and performance testing—are rigorously simulated to identify operational bottlenecks and inefficiencies. By analyzing workflow dynamics and resource utilization, targeted optimizations are proposed to streamline processes, reduce idle times, and improve throughput. Practical validation demonstrates that implementing these optimizations increases daily production output by over 6% and raises the production line balance rate by 5%, significantly lowering manufacturing costs while maintaining product quality. The methodology provides actionable insights for manufacturers to reconfigure production layouts, allocate resources effectively, and adapt to fluctuating market demands. This work bridges the gap between theoretical simulation and industrial implementation, offering a scalable framework for enhancing productivity, reducing waste, and advancing sustainable manufacturing practices in the photovoltaic sector. The findings highlight the critical role of simulation-driven strategies in addressing real-world engineering challenges and fostering cost-effective, high-efficiency production systems. </div>

Cited by 0Open access

Optimization of the experimental conditions.

Susana Sousa (181705), Luís Cardoso (449497), Steven G. Reed (173670) et al. · Figshare · 2015

&lt;p&gt;(A) Unspecific binding of serum antibodies to uncoated magnetic microspheres. Positive serum sample is represented in red, while negative serum sample in blue. (B) BFS as blocking agents (blue for positive serum and black for negative). (C) Positive and negative serum samples diluted from 1∶100 to 1∶6400. (D) PMSI-8.07Ni-NTA coated with rK39 and PMSI-1.7Ni-NTA coated with &lt;i&gt;Li&lt;/i&gt;cTXNPx in the presence of a positive serum or a negative serum and PMSI-8.07Ni-NTA coated with &lt;i&gt;Li&lt;/i&gt;cTXNPx and PMSI-1.7Ni-NTA coated with rK39 in the presence of a positive serum or a negative serum. (E) PMSI-8.07Ni-NTA coated with rK39 and PMSI-1.7Ni-NTA coated with &lt;i&gt;Li&lt;/i&gt;cTXNPx formed populations of different sizes as consequence of microspheres aggregation. For further analysis, only the non-aggregated populations (black line) were used. (F) Percentage of aggregated microspheres is higher in PMSI-1.7Ni-NTA than in PMSI-8.07Ni-NTA microspheres.&lt;/p&gt;

Cited by 0Open access