DocumentCode
1794723
Title
Multi-Genomic Algorithms
Author
Ngo, Mathias ; Labayrade, Raphael
Author_Institution
Univ. de Lyon, Lyon, France
fYear
2014
fDate
9-12 Dec. 2014
Firstpage
48
Lastpage
55
Abstract
The first step of any optimization process consists in choosing the Decision Variables (DV) and its relationships that model the problem, system or object to optimize. Many problems cannot be represented by a unique, exhaustive model which would ensure a global best result: in those cases, the model (DV and relationships) choice matters on the quality of the results.
Keywords
biology computing; cellular biophysics; decision making; genetic algorithms; genomics; 2D shape optimization; DV; GA; MGA; chromosomes; decision variables; exhaustive model; genetic algorithms; multigenomic algorithms; multigenomic populations; optimization process; unique genome; Bioinformatics; Biological cells; Computational modeling; Genomics; Optimization; Sociology; Statistics; Computational Speed Improvement; Evolutionary Algorithms; Genetic Algorithms; Model Reduction; Model Refinement;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence in Multi-Criteria Decision-Making (MCDM), 2014 IEEE Symposium on
Conference_Location
Orlando, FL
Type
conf
DOI
10.1109/MCDM.2014.7007187
Filename
7007187
Link To Document