An improved multi-objective technique for fuzzy clustering with application to IRS image segmentation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5484 LNCS, Issue , 2009, Pages 426-431

  Saha, Indrajit ^a   Maulik, Ujjwal ^b   Bandyopadhyay, Sanghamitra ^c  

^a Academy of Technology   (India)

^b JADAVPUR UNIVERSITY   (India)

^c INDIAN STATISTICAL INSTITUTE   (India)

Author keywords

Fuzzy clustering; Improved differential evolution; Multiobjective optimization; Pareto optimal

Indexed keywords

DIFFERENTIAL EVOLUTION; FEATURE VECTORS; IMPROVED DIFFERENTIAL EVOLUTION; MULTI OBJECTIVE; NONDOMINATED SOLUTIONS; OPTIMAL SOLUTIONS; PARETO-OPTIMAL; REAL-CODED; REMOTE SENSING DATA; SATELLITE IMAGES;

COMPUTER SCIENCE; EVOLUTIONARY ALGORITHMS; FUZZY CLUSTERING; FUZZY SYSTEMS; REMOTE SENSING;

MULTIOBJECTIVE OPTIMIZATION;

EID: 67650699575     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-01129-0_48     Document Type: Conference Paper

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