Please use this identifier to cite or link to this item: https://doi.org/10.1081/AMP-120022026
Title: Applications of genetic algorithm in polymer science and engineering
Authors: Kasat, R.B.
Ray, A.K. 
Gupta, S.K.
Keywords: Genetic algorithm
Multi-objective optimization
Optimization
Optimization in polymer processing
Optimization in polymer reaction engineering
Optimization in polymer science and engineering
Pareto sets
Scheduling in polymers
Issue Date: May-2003
Source: Kasat, R.B., Ray, A.K., Gupta, S.K. (2003-05). Applications of genetic algorithm in polymer science and engineering. Materials and Manufacturing Processes 18 (3) : 523-532. ScholarBank@NUS Repository. https://doi.org/10.1081/AMP-120022026
Abstract: In the last several years, genetic algorithm (GA) has gained wide acceptance as a robust optimization algorithm in almost all areas of science and engineering. Polymer science and engineering is no exception. Researchers in this field have devoted considerable attention to the optimization of polymer production using objective functions and constraints that lead to products having desired material properties. Multiple-objective functions have been optimized simultaneously. An example is the minimization of the reaction time in a reactor (lower costs) while simultaneously minimizing the concentration of side products (that affect the properties of the product adversely). Several end-point constraints (equality or inequality) may also be present, as, e.g., obtaining polymer of a desired molecular weight. Again, this requirement stems from producing polymer having desired strength. Solving such problems usually result in Pareto sets. A variety of adaptations of GA have been developed to obtain optimal solutions for such complex problems. These adaptations can be used to advantage in other fields too. The applications of GA in areas of polymer science and engineering other than polymerization systems are few and far between, but this field is now maturing, and it is hoped that the future will see several newer applications.
Source Title: Materials and Manufacturing Processes
URI: http://scholarbank.nus.edu.sg/handle/10635/66461
ISSN: 10426914
DOI: 10.1081/AMP-120022026
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

23
checked on Jan 17, 2018

WEB OF SCIENCETM
Citations

20
checked on Jan 17, 2018

Page view(s)

39
checked on Jan 13, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.