IRIS publication 279396973
GENETIC ALGORITHIMS
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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 -
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@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} }
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AUTHORS | 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 | ||
YEAR | 2013 | ||
MONTH | September | ||
JOURNAL_CODE | Bioengineered | ||
TITLE | GENETIC ALGORITHIMS | ||
STATUS | In Press | ||
TIMES_CITED | () | ||
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VOLUME | 4 | ||
ISSUE | 5 | ||
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ABSTRACT | 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 | ||
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