Special issue: Bio-inspired algorithms ...
Document type :
Article dans une revue scientifique: Article original
Title :
Special issue: Bio-inspired algorithms with structured populations
Author(s) :
Dorronsoro, Bernabé [Auteur]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Alba, Enrique [Auteur]
Universidad de Málaga [Málaga] = University of Málaga [Málaga]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Alba, Enrique [Auteur]
Universidad de Málaga [Málaga] = University of Málaga [Málaga]
Journal title :
Soft Computing
Pages :
1107-1108
Publisher :
Springer Verlag
Publication date :
2013-07-01
ISSN :
1432-7643
HAL domain(s) :
Informatique [cs]/Intelligence artificielle [cs.AI]
English abstract : [en]
The advantages of using structured populations in Evolutionary Algorithms (EAs) and other metaheuristicas are well known today, not only for parallelization purposes, but also for enhancing the performance of the algorithm ...
Show more >The advantages of using structured populations in Evolutionary Algorithms (EAs) and other metaheuristicas are well known today, not only for parallelization purposes, but also for enhancing the performance of the algorithm with respect to the equivalent algorithm with panmictic population, even for sequential executions. The use of an appropriate population structure will allow us to create a higher efficiency and efficacy algorithm once structured, both numerically and in real time (e.g. parallelism). The articles composing this special issue represent excellent novel contributions in this direction. We collected six high-quality papers out of the 43 received ones. These finally selected papers deal with different aspects related to the topic of this special issue, such as theoretical studies, identification of current challenges in the field, novel population structure designs, and empirical validation on highly complex problems.Show less >
Show more >The advantages of using structured populations in Evolutionary Algorithms (EAs) and other metaheuristicas are well known today, not only for parallelization purposes, but also for enhancing the performance of the algorithm with respect to the equivalent algorithm with panmictic population, even for sequential executions. The use of an appropriate population structure will allow us to create a higher efficiency and efficacy algorithm once structured, both numerically and in real time (e.g. parallelism). The articles composing this special issue represent excellent novel contributions in this direction. We collected six high-quality papers out of the 43 received ones. These finally selected papers deal with different aspects related to the topic of this special issue, such as theoretical studies, identification of current challenges in the field, novel population structure designs, and empirical validation on highly complex problems.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
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