[jira] [Updated] (MATH-1643) Implementation of multi-threading in Genetic Algorithm and parallel GA with multiple populations.
[ https://issues.apache.org/jira/browse/MATH-1643?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Gilles Sadowski updated MATH-1643: -- Fix Version/s: 4.X (was: 4.0) > Implementation of multi-threading in Genetic Algorithm and parallel GA with > multiple populations. > - > > Key: MATH-1643 > URL: https://issues.apache.org/jira/browse/MATH-1643 > Project: Commons Math > Issue Type: Sub-task >Affects Versions: 3.6.1 >Reporter: AVIJIT BASAK >Priority: Major > Fix For: 4.X > > > Current implementation of Genetic Algorithm does not use *multi-threading* > during optimization process. A multi-threading approach would be required to > enable usage of multiple cores of user CPU. This would also enable > implementation of *parallel GA* with multiple populations where each > population would converge independently, and the list of converged > populations will be returned to caller. -- This message was sent by Atlassian Jira (v8.20.10#820010)
[jira] [Updated] (MATH-1643) Implementation of multi-threading in Genetic Algorithm and parallel GA with multiple populations.
[ https://issues.apache.org/jira/browse/MATH-1643?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] AVIJIT BASAK updated MATH-1643: --- Description: Current implementation of Genetic Algorithm does not use *multi-threading* during optimization process. A multi-threading approach would be required to enable usage of multiple cores of user CPU. This would also enable implementation of *parallel GA* with multiple populations where each population would converge independently, and the list of converged populations will be returned to caller. (was: Current implementation of Genetic Algorithm does not use *multi-threading* during optimization process. A multi-threading approach would be required to enable usage of multiple cores of user CPU. This would also enable implementation of *parallel GA* with multiple populations where each population would converge independently, and the list of converged population will be returned to caller.) > Implementation of multi-threading in Genetic Algorithm and parallel GA with > multiple populations. > - > > Key: MATH-1643 > URL: https://issues.apache.org/jira/browse/MATH-1643 > Project: Commons Math > Issue Type: Sub-task >Affects Versions: 3.6.1 >Reporter: AVIJIT BASAK >Priority: Major > Fix For: 4.0 > > > Current implementation of Genetic Algorithm does not use *multi-threading* > during optimization process. A multi-threading approach would be required to > enable usage of multiple cores of user CPU. This would also enable > implementation of *parallel GA* with multiple populations where each > population would converge independently, and the list of converged > populations will be returned to caller. -- This message was sent by Atlassian Jira (v8.20.1#820001)
[jira] [Updated] (MATH-1643) Implementation of multi-threading in Genetic Algorithm and parallel GA with multiple populations.
[ https://issues.apache.org/jira/browse/MATH-1643?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] AVIJIT BASAK updated MATH-1643: --- Description: Current implementation of Genetic Algorithm does not use *multi-threading* during optimization process. A multi-threading approach would be required to enable usage of multiple cores of user CPU. This would also enable implementation of *parallel GA* with multiple populations where each population would converge independently, and the list of converged population will be returned to caller. (was: Current implementation of Genetic Algorithm does not use *multi-threading* during optimization process. A multi-threading approach would be required to enable usage of multiple cores of user CPU. This would also enable implementation of *parallel GA* with multiple populations where each population would converge independently, and the best result will be accepted as a solution.) > Implementation of multi-threading in Genetic Algorithm and parallel GA with > multiple populations. > - > > Key: MATH-1643 > URL: https://issues.apache.org/jira/browse/MATH-1643 > Project: Commons Math > Issue Type: Sub-task >Affects Versions: 3.6.1 >Reporter: AVIJIT BASAK >Priority: Major > Fix For: 4.0 > > > Current implementation of Genetic Algorithm does not use *multi-threading* > during optimization process. A multi-threading approach would be required to > enable usage of multiple cores of user CPU. This would also enable > implementation of *parallel GA* with multiple populations where each > population would converge independently, and the list of converged > population will be returned to caller. -- This message was sent by Atlassian Jira (v8.20.1#820001)
