{"year":"2015","tmp":{"name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","image":"/images/cc_by_nc_nd.png","legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode","short":"CC BY-NC-ND (4.0)"},"file_date_updated":"2020-07-14T12:45:01Z","project":[{"grant_number":"618091","_id":"25B1EC9E-B435-11E9-9278-68D0E5697425","name":"Speed of Adaptation in Population Genetics and Evolutionary Computation","call_identifier":"FP7"},{"grant_number":"250152","name":"Limits to selection in biology and in evolutionary computation","_id":"25B07788-B435-11E9-9278-68D0E5697425","call_identifier":"FP7"}],"ec_funded":1,"citation":{"ieee":"T. Paixao <i>et al.</i>, “Toward a unifying framework for evolutionary processes,” <i> Journal of Theoretical Biology</i>, vol. 383. Elsevier, pp. 28–43, 2015.","apa":"Paixao, T., Badkobeh, G., Barton, N. H., Çörüş, D., Dang, D., Friedrich, T., … Trubenova, B. (2015). Toward a unifying framework for evolutionary processes. <i> Journal of Theoretical Biology</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.jtbi.2015.07.011\">https://doi.org/10.1016/j.jtbi.2015.07.011</a>","chicago":"Paixao, Tiago, Golnaz Badkobeh, Nicholas H Barton, Doğan Çörüş, Duccuong Dang, Tobias Friedrich, Per Lehre, Dirk Sudholt, Andrew Sutton, and Barbora Trubenova. “Toward a Unifying Framework for Evolutionary Processes.” <i> Journal of Theoretical Biology</i>. Elsevier, 2015. <a href=\"https://doi.org/10.1016/j.jtbi.2015.07.011\">https://doi.org/10.1016/j.jtbi.2015.07.011</a>.","ista":"Paixao T, Badkobeh G, Barton NH, Çörüş D, Dang D, Friedrich T, Lehre P, Sudholt D, Sutton A, Trubenova B. 2015. Toward a unifying framework for evolutionary processes.  Journal of Theoretical Biology. 383, 28–43.","short":"T. Paixao, G. Badkobeh, N.H. Barton, D. Çörüş, D. Dang, T. Friedrich, P. Lehre, D. Sudholt, A. Sutton, B. Trubenova,  Journal of Theoretical Biology 383 (2015) 28–43.","ama":"Paixao T, Badkobeh G, Barton NH, et al. Toward a unifying framework for evolutionary processes. <i> Journal of Theoretical Biology</i>. 2015;383:28-43. doi:<a href=\"https://doi.org/10.1016/j.jtbi.2015.07.011\">10.1016/j.jtbi.2015.07.011</a>","mla":"Paixao, Tiago, et al. “Toward a Unifying Framework for Evolutionary Processes.” <i> Journal of Theoretical Biology</i>, vol. 383, Elsevier, 2015, pp. 28–43, doi:<a href=\"https://doi.org/10.1016/j.jtbi.2015.07.011\">10.1016/j.jtbi.2015.07.011</a>."},"quality_controlled":"1","language":[{"iso":"eng"}],"publication_status":"published","month":"10","publist_id":"5629","publisher":"Elsevier","license":"https://creativecommons.org/licenses/by-nc-nd/4.0/","has_accepted_license":"1","page":"28 - 43","date_created":"2018-12-11T11:52:37Z","title":"Toward a unifying framework for evolutionary processes","ddc":["570"],"file":[{"checksum":"33b60ecfea60764756a9ee9df5eb65ca","relation":"main_file","file_name":"IST-2016-483-v1+1_1-s2.0-S0022519315003409-main.pdf","creator":"system","content_type":"application/pdf","file_id":"5244","file_size":595307,"date_updated":"2020-07-14T12:45:01Z","date_created":"2018-12-12T10:16:53Z","access_level":"open_access"}],"volume":383,"status":"public","publication":" Journal of Theoretical Biology","_id":"1542","type":"journal_article","scopus_import":1,"day":"21","oa_version":"Published Version","intvolume":"       383","author":[{"orcid":"0000-0003-2361-3953","id":"2C5658E6-F248-11E8-B48F-1D18A9856A87","first_name":"Tiago","full_name":"Paixao, Tiago","last_name":"Paixao"},{"last_name":"Badkobeh","first_name":"Golnaz","full_name":"Badkobeh, Golnaz"},{"first_name":"Nicholas H","full_name":"Barton, Nicholas H","last_name":"Barton","orcid":"0000-0002-8548-5240","id":"4880FE40-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Çörüş","full_name":"Çörüş, Doğan","first_name":"Doğan"},{"first_name":"Duccuong","full_name":"Dang, Duccuong","last_name":"Dang"},{"last_name":"Friedrich","first_name":"Tobias","full_name":"Friedrich, Tobias"},{"last_name":"Lehre","full_name":"Lehre, Per","first_name":"Per"},{"first_name":"Dirk","full_name":"Sudholt, Dirk","last_name":"Sudholt"},{"full_name":"Sutton, Andrew","first_name":"Andrew","last_name":"Sutton"},{"first_name":"Barbora","full_name":"Trubenova, Barbora","last_name":"Trubenova","id":"42302D54-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-6873-2967"}],"oa":1,"date_published":"2015-10-21T00:00:00Z","abstract":[{"lang":"eng","text":"The theory of population genetics and evolutionary computation have been evolving separately for nearly 30 years. Many results have been independently obtained in both fields and many others are unique to its respective field. We aim to bridge this gap by developing a unifying framework for evolutionary processes that allows both evolutionary algorithms and population genetics models to be cast in the same formal framework. The framework we present here decomposes the evolutionary process into its several components in order to facilitate the identification of similarities between different models. In particular, we propose a classification of evolutionary operators based on the defining properties of the different components. We cast several commonly used operators from both fields into this common framework. Using this, we map different evolutionary and genetic algorithms to different evolutionary regimes and identify candidates with the most potential for the translation of results between the fields. This provides a unified description of evolutionary processes and represents a stepping stone towards new tools and results to both fields. "}],"date_updated":"2021-01-12T06:51:29Z","pubrep_id":"483","doi":"10.1016/j.jtbi.2015.07.011","department":[{"_id":"NiBa"},{"_id":"CaGu"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87"}