Biomimetic adaptation of the evolutionary algorithm, NSGA-II-aJG, using the biogenetic law of embryology for intelligent optimization

Industrial and Engineering Chemistry Research

Volumn 48, Issue 17, 2009, Pages 8054-8067

  Ramteke, Manojkumar ^a,b   Gupta, Santosh K ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY BOMBAY   (India)

^b INDIAN INSTITUTE OF TECHNOLOGY KANPUR   (India)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL EFFORT; CONVENTIONAL TECHNIQUES; DECISION VARIABLES; ELITIST NON-DOMINATED SORTING GENETIC ALGORITHMS; EVOLUTIONARY TECHNIQUES; INDUSTRIAL OPTIMIZATION; INTELLIGENT OPTIMIZATION; JUMPING GENE; MULTI-OBJECTIVE OPTIMIZATION PROBLEM; NSGA-II; OBJECTIVE FUNCTIONS; ONLINE OPTIMIZATION; OPTIMIZATION TECHNIQUES; REAL-LIFE PROBLEMS; SPEED OF CONVERGENCE;

BIOMIMETICS; CONVERGENCE OF NUMERICAL METHODS; GENETIC ALGORITHMS; MATHEMATICAL OPERATORS;

MULTIOBJECTIVE OPTIMIZATION;

EID: 70049083634     PISSN: 08885885     EISSN: None     Source Type: Journal    
DOI: 10.1021/ie801592c     Document Type: Article

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