Critical Assessment 3: The unique contributions of multi-objective evolutionary and genetic algorithms in materials research. (September 2014)

• Record Type: Journal Article
• Authors: Chakraborti, Nirupam
• Is Part Of: Materials science and technology. Volume 30:Number 11(2014:Nov.)
• Page Start: 1259
• Page End: 1262
• Publication Date: 2014-09
• Subjects: Genetic algorithms, -- Multi-objective optimisation, -- Materials design and processing, -- Reviews, -- Critical assessments; Materials science -- Periodicals; Microstructure -- Periodicals; Metallurgy -- Periodicals; 620.1105
• DOI: 10.1179/1743284714Y.0000000578
• Languages: English
• ISSNs: 0267-0836

Abstract

Abstract : 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.