TY  - JOUR
  - Timmy Manning, Roy D Sleator, Paul Walsh, Lakshmi S Vijayachandran, Deepak B Thimiri Govinda Raj, Evelina Edelweiss, Kapil Gupta, Josef Maier, Valentin Gordeliy, Daniel J Fitzgerald, Imre Berger, Catherine EM Hogwood, Daniel G Bracewell, C Mark Smales, Hui Lin, Qun Wang, Qi Shen, Jumei Zhan, Yuhua Zhao, Maria-Cristina S Pranchevicius, Thiessa R Vieira, Kerry Joan O’Connell, Mary O’Connell Motherway, Alan A Hennessey, Florian Brodhun, R Paul Ross, Ivo Feussner, Catherine Stanton, Gerald F Fitzgerald, Douwe van Sinderen, Orquídea Ribeiro, Frederico Magalhães, Tatiana Q Aguiar, Marilyn G Wiebe, Merja Penttilä, Lucília Domingues, Claudio Nicolini, Manju Singh, Rosanna Spera, Lamberto Felli, Tarlan Mamedov, Vidadi Yusibov
  - 2013
  - September
  - Bioengineered
  - GENETIC ALGORITHIMS
  - In Press
  - ()
  - 4
  - 5
  - For decades, computer scientists have looked to nature for biologically inspired solutions to computational problems; ranging from robotic control to scheduling optimization. Paradoxically, as we move deeper into the postgenomics era, the reverse is occurring, as biologists and bioinformaticians look to computational techniques, to solve a variety of biological problems. One of the most common biologically inspired techniques are genetic algorithms (GAs), which take the Darwinian concept of natural selection as the driving
DA  - 2013/09
ER  - 

@article{V279396973,
   = {Timmy Manning,  Roy D Sleator and  Paul Walsh,  Lakshmi S Vijayachandran and  Deepak B Thimiri Govinda Raj,  Evelina Edelweiss and  Kapil Gupta,  Josef Maier and  Valentin Gordeliy,  Daniel J Fitzgerald and  Imre Berger,  Catherine EM Hogwood and  Daniel G Bracewell,  C Mark Smales and  Hui Lin,  Qun Wang and  Qi Shen,  Jumei Zhan and  Yuhua Zhao,  Maria-Cristina S Pranchevicius and  Thiessa R Vieira,  Kerry Joan O’Connell and  Mary O’Connell Motherway,  Alan A Hennessey and  Florian Brodhun,  R Paul Ross and  Ivo Feussner,  Catherine Stanton and  Gerald F Fitzgerald,  Douwe van Sinderen and  Orquídea Ribeiro,  Frederico Magalhães and  Tatiana Q Aguiar,  Marilyn G Wiebe and  Merja Penttilä,  Lucília Domingues and  Claudio Nicolini,  Manju Singh and  Rosanna Spera,  Lamberto Felli and  Tarlan Mamedov,  Vidadi Yusibov },
   = {2013},
   = {September},
   = {Bioengineered},
   = {GENETIC ALGORITHIMS},
   = {In Press},
   = {()},
   = {4},
   = {5},
   = {{For decades, computer scientists have looked to nature for biologically inspired solutions to computational problems; ranging from robotic control to scheduling optimization. Paradoxically, as we move deeper into the postgenomics era, the reverse is occurring, as biologists and bioinformaticians look to computational techniques, to solve a variety of biological problems. One of the most common biologically inspired techniques are genetic algorithms (GAs), which take the Darwinian concept of natural selection as the driving}},
  source = {IRIS}
}