A new radii-based evolutionary algorithm (EA) designed for multimodal optimization problems is proposed. The approach can be placed within the genetic chromodynamics framework and related to other EAs with local interaction, e.g. using species formation or clearing procedures. The underlying motivation for modifying the original algorithm was to preserve its ability to search for many optima in parallel while increasing convergence speed, especially for complex problems, through generational selection and different replacement schemes. The algorithm is applied to function optimization and classification; obtained experimental results, in part improved immensely by state-of-the-art parameter tuning (SPO), and encouraged further investigation.
Description
IEEE Xplore Abstract - Elitist generational genetic chromodynamics - a new radii-based evolutionary algorithm for multimoda...
%0 Conference Paper
%1 1554911
%A Stoean, C.
%A Preuss, M.
%A Gorunescu, R.
%A Dumitrescu, D.
%B Evolutionary Computation, 2005. The 2005 IEEE Congress on
%D 2005
%K elitist genetic masterbib multimodal optimization radii
%P 1839-1846 Vol. 2
%R 10.1109/CEC.2005.1554911
%T Elitist generational genetic chromodynamics - a new radii-based evolutionary algorithm for multimodal optimization
%U http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1554911&tag=1
%V 2
%X A new radii-based evolutionary algorithm (EA) designed for multimodal optimization problems is proposed. The approach can be placed within the genetic chromodynamics framework and related to other EAs with local interaction, e.g. using species formation or clearing procedures. The underlying motivation for modifying the original algorithm was to preserve its ability to search for many optima in parallel while increasing convergence speed, especially for complex problems, through generational selection and different replacement schemes. The algorithm is applied to function optimization and classification; obtained experimental results, in part improved immensely by state-of-the-art parameter tuning (SPO), and encouraged further investigation.
@inproceedings{1554911,
abstract = {A new radii-based evolutionary algorithm (EA) designed for multimodal optimization problems is proposed. The approach can be placed within the genetic chromodynamics framework and related to other EAs with local interaction, e.g. using species formation or clearing procedures. The underlying motivation for modifying the original algorithm was to preserve its ability to search for many optima in parallel while increasing convergence speed, especially for complex problems, through generational selection and different replacement schemes. The algorithm is applied to function optimization and classification; obtained experimental results, in part improved immensely by state-of-the-art parameter tuning (SPO), and encouraged further investigation.},
added-at = {2014-06-11T20:23:26.000+0200},
author = {Stoean, C. and Preuss, M. and Gorunescu, R. and Dumitrescu, D.},
biburl = {https://www.bibsonomy.org/bibtex/2785ffb48e3678b85da5884ac561bfbd0/marcioweck},
booktitle = {Evolutionary Computation, 2005. The 2005 IEEE Congress on},
description = {IEEE Xplore Abstract - Elitist generational genetic chromodynamics - a new radii-based evolutionary algorithm for multimoda...},
doi = {10.1109/CEC.2005.1554911},
interhash = {57d22d78d4b4fe61ff70b149eaf294d8},
intrahash = {785ffb48e3678b85da5884ac561bfbd0},
keywords = {elitist genetic masterbib multimodal optimization radii},
month = {Sept},
pages = {1839-1846 Vol. 2},
timestamp = {2014-06-11T20:23:26.000+0200},
title = {Elitist generational genetic chromodynamics - a new radii-based evolutionary algorithm for multimodal optimization},
url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1554911&tag=1},
volume = 2,
year = 2005
}