response-surface-methodology

Python library for parallel multiobjective simulation optimization

Pareto Front Estimation Using Unit Hyperplane

Solver for Blackbox Multiobjective Optimization Problems

A few ML algorithms and Data Analysis

Analyse designed experiments with response-surface models, matched response comparisons, and traceable candidate settings.

Response Surface Analysis Interactive Panel

The project focuses on the analysis of experimental data regarding the continuous biomass production of a cyanobacterium of the genus Nostoc. The primary objective is to understand how different cultivation factors influence biological growth over time, monitored through optical density (OD).

A/B/n Experiment Project using Response Surface Methodology

ML surface-roughness (Ra) prediction for CFRP milling — TUSAŞ Lift Up graduation project (MACHINOVA): RSM regression, desktop app & REST API.

A Dynamic Pricing framework integrating Monte Carlo simulations for demand uncertainty analysis and Response Surface Methodology (RSM) to optimize pricing strategies and maximize revenue.

Validation harness and curated case datasets for the FORMULA-Sigma pharmaceutical formulation platform. Reproducibility package for the methods paper (harness: MIT; datasets: CC-BY-4.0). Platform engine is proprietary.

Sequential design-of-experiments and response-surface optimization study in R.

Fast, benchmarked data-fit (surrogate) models (Kriging, RBF, response surfaces, ensembles) for surrogate-assisted and multidisciplinary design optimization (MDO). Analytic gradients, uncertainty, NumPy/SciPy.

Non-WSQ Design of Experiment (DOE) Masterclass (C950) — 2-day, 15-hour hands-on courseware: factorial, fractional, screening, RSM, mixture and Taguchi designs with NovaDOE and Excel

An agentic Design-of-Experiments and analysis assistant: plans experiments, runs sandboxed analysis code, fits response-surface models, and recommends the next run via Bayesian optimization.

DOE, RSM, regression, and multi-objective optimization of 3D printing parameters for lightweight and high-strength UAV parts

Lagrangian simulation of ascorbic acid retention during spray drying of Myrciaria dubia extract. Box-Behnken RSM, Monte Carlo uncertainty, glass transition analysis. UNSA Arequipa, Peru.

Compound-agnostic Design of Experiments (DOE) & Response Surface Methodology toolkit in Python. Config-driven factor/response setup with covariate (ANCOVA) and blocking support, Box-Behnken/CCD/factorial designs, ANOVA, desirability optimization, robust operating windows, publication-ready figures, and automated PDF reports. CLI + library

LaTeX source for the article 'Geotechnical Properties of Soil Stabilized with Blended Binders for Sustainable Road Base Applications' (Lindh & Lemenkova, Construction Materials 2023, 3(1):110-126). Simplex-lattice mixture design and P-wave/UCS strength evaluation of clayey soil stabilised with blended binders.

Multi-Objective Optimization of 3 output functions based on 5 input variables using epsilon-constraint method in Pyomo. [developed using ChatGPT July 20 Version]