Journal ArticleDOI
DoE framework for catalyst development based on soft computing techniques
Soledad Valero,Estefania Argente,Vicente Botti,José M. Serra,Pedro Serna,Manuel Moliner,Avelino Corma +6 more
TLDR
A generalist, configurable and parameterizable experimental design framework has been developed for the discovery and optimization of catalytic materials when exploring a high-dimensional space based on a soft computing architecture in which neural networks and a genetic algorithm are combined to optimize the discovery of new materials and process conditions at the industrial scale.About:
This article is published in Computers & Chemical Engineering.The article was published on 2009-01-13. It has received 39 citations till now. The article focuses on the topics: Soft computing & Genetic algorithm.read more
Citations
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Patent
Slip chip device and methods
Rustem F. Ismagilov,Wenbin Du,Liang Li,Feng Shen,Kevin P. Nichols,Delai Chen,Jason E. Kreutz +6 more
TL;DR: In this article, a first surface having a plurality of first areas and a second surface having plurality of second areas is described, where the first surface and the second surface are opposed to one another and can move relative to each other.
Journal ArticleDOI
Evolution of catalysts directed by genetic algorithms in a plug-based microfluidic device tested with oxidation of methane by oxygen
Jason E. Kreutz,Anton Shukhaev,Wenbin Du,Sasha C. Druskin,Olafs Daugulis,Rustem F. Ismagilov +5 more
TL;DR: This approach of GA-guided evolution has the potential to accelerate discovery in catalysis and other areas where exploration of chemical space is essential, including optimization of materials for hydrogen storage and CO(2) capture and modifications.
Journal ArticleDOI
Design and optimization of Bi-metallic Ag-ZSM5 catalysts for catalytic oxidation of volatile organic compounds
Behrang Izadkhah,Seyed Reza Nabavi,Aligholi Niaei,Dariush Salari,T. Mahmuodi Badiki,N. Çaylak +5 more
TL;DR: In this article, a neural network model was coupled with genetic algorithm to find an optimal catalyst for elimination of volatile organic compounds (VOCs), which was based on simultaneous investigation of catalyst formulation, preparation condition, and loaded metal atomic descriptors as representative of each metal.
Journal ArticleDOI
Neuro-genetic aided design of modified H-ZSM-5 catalyst for catalytic conversion of methanol to gasoline range hydrocarbons
Aligholi Niaei,Tohid Mahmuodi Badiki,Seyed Reza Nabavi,Dariush Salari,Behrang Izadkhah,Nagihan Çaylak +5 more
TL;DR: In this paper, the design of modified H-ZSM-5 catalyst for catalytic conversion of methanol to gasoline range hydrocarbons (MTG) was carried out using neuro-genetic approach.
Journal ArticleDOI
Catalytic reduction of NO by CO over CeO2-MOx (0.25) (M = Mn, Fe and Cu) mixed oxides—Modeling and optimization of catalyst preparation by hybrid ANN-GA
Soudabe Bahrami,Aligholi Niaei,María José Illán-Gómez,Ali Tarjomannejad,Seyed Mahdi Mousavi,Vicente Albaladejo-Fuentes +5 more
TL;DR: In this paper, a neuro-genetic approach was employed to model and optimize the NO and CO conversions, and the results showed that the ANN model is accurate with R2 = 0.991, 0.979 and 0.960 for training, validation and testing.
References
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Book
Adaptation in natural and artificial systems
TL;DR: Names of founding work in the area of Adaptation and modiication, which aims to mimic biological optimization, and some (Non-GA) branches of AI.
Book
Neural networks for pattern recognition
TL;DR: This is the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition, and is designed as a text, with over 100 exercises, to benefit anyone involved in the fields of neural computation and pattern recognition.
Book
Pattern recognition and neural networks
Brian D. Ripley,N. L. Hjort +1 more
TL;DR: Professor Ripley brings together two crucial ideas in pattern recognition; statistical methods and machine learning via neural networks in this self-contained account.
Book
Fuzzy logic, neural networks, and soft computing
TL;DR: A simple case in point is the problem of parking a car as discussed by the authors, where the final position of the car is not specified exactly, and if it were specified to within, say, a few millimeters and a fraction of a degree, it would take hours or days of maneuvering and precise measurements of distance and angular position.
Book ChapterDOI
Real-Coded Genetic Algorithms and Interval-Schemata
Larry Eshelman,J. David Schaffer +1 more
TL;DR: It is shown how interval-schemata are analogous to Holland's symbol- schemata and provide a key to understanding the implicit parallelism of real-valued GAs and support the intuition that real-coded GAs should have an advantage over binary coded GAs in exploiting local continuities in function optimization.