Critical Assessment 3: The unique contributions of multi-objective evolutionary and genetic algorithms in materials research

The current state of the art of materials research using multi-objective genetic and evolutionary algorithms is briefly presented with critical analyses. The basic concepts of multi-objective optimisation and Pareto optimality are explained in simple terms and the advantages of an evolutionary appro...

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Bibliographic Details
Published in:Materials science and technology Vol. 30; no. 11; pp. 1259 - 1262
Main Author: Chakraborti, Nirupam
Format: Journal Article
Language:English
Published: London, England Taylor & Francis 01.09.2014
SAGE Publications
Taylor & Francis Ltd
Subjects:
Assessments
Critical assessments
Evolutionary
Evolutionary algorithms
Genetic algorithms
Genetics
Materials design and processing
Materials science
Multi-objective optimisation
Optimization
Pareto optimality
Reviews
State of the art
Reviews
Genetic algorithms
Multi-objective optimisation
Materials design and processing
Critical assessments
ISSN:0267-0836, 1743-2847
Online Access:Get full text
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Summary:The current state of the art of materials research using multi-objective genetic and evolutionary algorithms is briefly presented with critical analyses. The basic concepts of multi-objective optimisation and Pareto optimality are explained in simple terms and the advantages of an evolutionary approach are emphasised. Current materials related research in this area is summarised, focusing on the achievements to date and the specific needs for further improvement.
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ISSN:0267-0836
1743-2847
DOI:10.1179/1743284714Y.0000000578