Hybrid genetic algorithm to find the best model and the globally optimized overall kinetics parameters for thermal decomposition of plastics

By B. Saha, P. Reddy, A. Ghoshal. 2008

67 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Materials Chemistry, Polymers and Plastics

View Paper: https://www.semanticscholar.org/paper/16dd40970c3e0a46e5f5fa157df7e511cb3c5bc3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Guillermo Rein
2. K. Li
3. Jie Ji
4. Xinyan Huang
5. C. Fleischmann

In Materials Chemistry

1. Guillermo Rein
2. K. Li
3. Jie Ji
4. Xinyan Huang
5. C. Fleischmann

In Polymers and Plastics

1. K. Li
2. Jie Ji
3. Xinyan Huang
4. C. Fleischmann
5. Guillermo Rein

Citations in the corpus

• Pyrolysis of Medium-Density Fiberboard: Optimized Search for Kinetics Scheme and Parameters via a Genetic Algorithm Driven by Kissinger’s Method (2014, methodology): “Therefore, GA can be coupled with a decomposition model to search for values of kinetic and stoichiometric parameters that gives the best fit between the model outputs and the experimental results [7,21,22].”