Gene selection using multi-objective genetic algorithm integrating cellular automata and rough set theory

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

Volumn 8298 LNCS, Issue PART 2, 2013, Pages 144-155

  Pati, Soumen Kumar ^a   Das, Asit Kumar ^b   Ghosh, Arka ^b  

^a St Thomas College of Engineering Technology   (India)

^b INDIAN INSTITUTE OF ENGINEERING SCIENCE AND TECHNOLOGY   (India)

Author keywords

Feature selection; Genetic algorithm; Kullback Leibler divergence; Multi objective Evolutionary algorithm; Set lower bound approximation

Indexed keywords

COMPARATIVE STUDIES; FEATURE SELECTION METHODS; FITNESS FUNCTIONS; HYBRID CELLULAR AUTOMATONS; KULLBACK LEIBLER DIVERGENCE; LOWER BOUNDS; MULTI OBJECTIVE EVOLUTIONARY ALGORITHMS; MULTI-OBJECTIVE GENETIC ALGORITHM;

APPROXIMATION ALGORITHMS; CELLULAR AUTOMATA; FEATURE EXTRACTION; GENETIC ALGORITHMS;

ROUGH SET THEORY;

EID: 84893298062     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-03756-1_13     Document Type: Conference Paper

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