Optimization‐based cosmetic formulation: Integration of mechanistic model, surrogate model, and heuristics

[1]  Wolfgang R. Huster,et al.  Deterministic global process optimization: Accurate (single-species) properties via artificial neural networks , 2019, Comput. Chem. Eng..

[2]  Christianto Wibowo,et al.  Product‐centered processing: Manufacture of chemical‐based consumer products , 2002 .

[3]  Rafiqul Gani,et al.  An Integrated Approach for the Design of Emulsified Products , 2018, AIChE Journal.

[4]  Xiang Zhang,et al.  An integrated framework for designing formulated products , 2017, Comput. Chem. Eng..

[5]  Andrés Fernando González Barrios,et al.  The multiscale approach t o the design of bio-based emulsions , 2020 .

[6]  Linlin Liu,et al.  OptCAMD: An optimization-based framework and tool for molecular and mixture product design , 2019, Comput. Chem. Eng..

[7]  Miguel J. Bagajewicz,et al.  Product design in price-competitive markets: A case study of a skin moisturizing lotion , 2011 .

[8]  Rafiqul Gani,et al.  New Vistas in Chemical Product and Process Design. , 2016, Annual review of chemical and biomolecular engineering.

[9]  Fernando P. Bernardo,et al.  A conceptual model for chemical product design , 2015 .

[10]  Lei Zhang,et al.  A machine learning based computer-aided molecular design/screening methodology for fragrance molecules , 2018, Comput. Chem. Eng..

[11]  Rafiqul Gani,et al.  A Computer-Aided Methodology for Mixture-Blend Design. Applications to Tailor-Made Design of Surrogate Fuels , 2018 .

[12]  Mauricio Camargo,et al.  Incorporation of heuristic knowledge in the optimal design of formulated products: Application to a cosmetic emulsion , 2019, Comput. Chem. Eng..

[13]  Rafiqul Gani,et al.  Product design - Molecules, devices, functional products, and formulated products , 2015, Comput. Chem. Eng..

[14]  Paul T. Akula,et al.  The formulation of optimal mixtures with generalized disjunctive programming: A solvent design case study , 2016 .

[15]  Rafiqul Gani,et al.  A New Decomposition-Based Computer-Aided Molecular/Mixture Design Methodology for the Design of Optimal Solvents and Solvent Mixtures , 2005 .

[16]  C. Adjiman,et al.  Designing optimal mixtures using generalized disjunctive programming: Hull relaxations , 2017 .

[17]  Lei Zhang,et al.  Computer aided chemical product design - ProCAPD and tailor-made blended products , 2018, Comput. Chem. Eng..

[18]  A. Balfagón,et al.  Comparative study of neural networks and least mean square algorithm applied to the optimization of cosmetic formulations , 2010, International journal of cosmetic science.

[19]  Mario R. Eden,et al.  Mixture formulation through multivariate statistical analysis of process data in property cluster space , 2017, Comput. Chem. Eng..

[20]  A. Rodrigues,et al.  Flavor Engineering–A Methodology To Predict Sensory Qualities of Flavored Products , 2018 .

[21]  Rafiqul Gani,et al.  Design of formulated products: Experimental component , 2012 .

[22]  Michael Hill.  Product and process design for structured products , 2004 .

[23]  Prodromos Daoutidis,et al.  Automated Generation and Optimal Selection of Biofuel-Gasoline Blends and Their Synthesis Routes , 2013 .

[24]  I. Grossmann,et al.  Systematic modeling of discrete-continuous optimization models through generalized disjunctive programming , 2013 .

[25]  Ali Elkamel,et al.  A Systematic Computer-Aided Product Design and Development Procedure: Case of Disinfectant Formulations , 2012 .

[26]  Christodoulos A. Floudas,et al.  ARGONAUT: AlgoRithms for Global Optimization of coNstrAined grey-box compUTational problems , 2017, Optim. Lett..

[27]  A. Jouyban.  Review of the cosolvency models for predicting solubility in solvent mixtures: An update. , 2019, Journal of pharmacy & pharmaceutical sciences : a publication of the Canadian Society for Pharmaceutical Sciences, Societe canadienne des sciences pharmaceutiques.

[28]  Miguel A. Teixeira,et al.  Evaluation of Group-Contribution Methods To Predict VLE and Odor Intensity of Fragrances , 2011 .

[29]  Rafiqul Gani,et al.  Chemical product design: Advances in and proposed directions for research and teaching , 2019, Comput. Chem. Eng..

[30]  D. Lachenmeier,et al.  Formaldehyde in hair straightening products: Rapid 1H NMR determination and risk assessment , 2013, International journal of cosmetic science.

[31]  Atharv Bhosekar,et al.  Advances in surrogate based modeling, feasibility analysis, and optimization: A review , 2018, Comput. Chem. Eng..

[32]  Ka Yip Fung,et al.  Food Product Design: A Hybrid Machine Learning and Mechanistic Modeling Approach , 2019, Industrial & Engineering Chemistry Research.

[33]  Lei Zhang,et al.  A grand model for chemical product design , 2016, Comput. Chem. Eng..

[34]  Miguel A. Teixeira,et al.  Modeling Fragrance Components Release from a Simplified Matrix Used in Toiletries and Household Products , 2015 .

[35]  Mariano Martín,et al.  Challenges in the design of formulated products: multiscale process and product design , 2020 .

[36]  F. Veiga,et al.  Developing cream formulations: renewed interest in an old problem. , 2019, Journal of pharmaceutical sciences.

[37]  Artur M. Schweidtmann,et al.  Deterministic Global Optimization with Artificial Neural Networks Embedded , 2018, Journal of Optimization Theory and Applications.

[38]  Alírio E. Rodrigues,et al.  The perception of fragrance mixtures: A comparison of odor intensity models , 2010 .

[39]  Fani Boukouvala,et al.  Machine learning-based surrogate modeling for data-driven optimization: a comparison of subset selection for regression techniques , 2019, Optimization Letters.

[40]  Nikolaos V. Sahinidis,et al.  COSMO‐based computer‐aided molecular/mixture design: A focus on reaction solvents , 2018 .

[41]  Alírio E. Rodrigues,et al.  Prediction Model for the Odor Intensity of Fragrance Mixtures: A Valuable Tool for Perfumed Product Design , 2013 .

[42]  Alírio E. Rodrigues,et al.  The diffusion of perfume mixtures and the odor performance , 2009 .

[43]  V. Normand,et al.  Flash-point prediction of fragrances or flavours accounting for non-ideality of the liquid phase , 2018, Flavour and Fragrance Journal.

[44]  A-M Pensé-Lhéritier,et al.  Recent developments in the sensorial assessment of cosmetic products: a review , 2015, International journal of cosmetic science.

[45]  Rafiqul Gani,et al.  Design of Formulated Products: A Systematic Methodology , 2011 .

[46]  Lorenz T. Biegler,et al.  A trust region filter method for glass box/black box optimization , 2016 .

[47]  Beverly V. Smith,et al.  Framework for Consumer-Integrated Optimal Product Design , 2009 .

[48]  Rafiqul Gani,et al.  An integrated computer aided system for integrated design of chemical processes , 1997 .

[49]  Christianto Wibowo,et al.  Product-oriented process synthesis and development: Creams and pastes , 2001 .

[50]  Krist V. Gernaey,et al.  A systematic methodology for design of tailor-made blended products , 2014, Comput. Chem. Eng..

[51]  Horng-Jang Liaw,et al.  Prediction of Miscible Mixtures Flash-point from UNIFAC group contribution methods , 2011 .

[52]  Efstratios N. Pistikopoulos,et al.  Optimal design of energy systems using constrained grey-box multi-objective optimization , 2018, Comput. Chem. Eng..