Title :
Multi-Genomic Algorithms
Author :
Ngo, Mathias ; Labayrade, Raphael
Author_Institution :
Univ. de Lyon, Lyon, France
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;
Conference_Titel :
Computational Intelligence in Multi-Criteria Decision-Making (MCDM), 2014 IEEE Symposium on
Conference_Location :
Orlando, FL
DOI :
10.1109/MCDM.2014.7007187
