How multi-objective genetic algorithms handle lack of data, sparse data and excess data: Evaluation of some recent case studies in the materials domain

Statistical Analysis and Data Mining

Volumn 1, Issue 5, 2009, Pages 322-328

  Chakraborti, N ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Data driven models; Data mining; Genetic algorithms; Multi objective optimization; Pareto optimality

Indexed keywords

DATA MINING; INVERSE PROBLEMS; MATERIALS HANDLING; MULTIOBJECTIVE OPTIMIZATION; PARETO PRINCIPLE;

BIOLOGICALLY-INSPIRED; CASE-STUDIES; DATA EVALUATION; DATA-DRIVEN MODEL; ENGINEERING APPLICATIONS; MATERIAL ENGINEERING; MULTI-OBJECTIVES GENETIC ALGORITHMS; MULTI-OBJECTIVES OPTIMIZATION; PARETO-OPTIMALITY; SPARSE DATA;

GENETIC ALGORITHMS;

EID: 70349649341     PISSN: 19321872     EISSN: 19321864     Source Type: Journal    
DOI: 10.1002/sam.10025     Document Type: Article

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