Editorial scalability of evolutionary algorithms and other metaheuristics for large-scale continuous optimization problems

This editorial note presents the motivations, objectives, and structure of the special issue on scalability of evolutionary algorithms and other metaheuristics for large-scale continuous optimization problems. In addition, it provides the link to an associated Website where complementary material to...

Full description

Saved in:
Bibliographic Details
Published in:Soft computing (Berlin, Germany) Germany), 2011-11, Vol.15 (11), p.2085-2087
Main Authors: Lozano, M., Molina, D., Herrera, F.
Format: Article
Language:English
Subjects:
Artificial Intelligence
Computational Intelligence
Control
Engineering
Evolutionary algorithms
Focus
Genetic algorithms
Heuristic methods
Mathematical Logic and Foundations
Mechatronics
Mutation
Optimization
Optimization algorithms
Robotics
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This editorial note presents the motivations, objectives, and structure of the special issue on scalability of evolutionary algorithms and other metaheuristics for large-scale continuous optimization problems. In addition, it provides the link to an associated Website where complementary material to the special issue is available.
ISSN:1432-7643
1433-7479
DOI:10.1007/s00500-010-0639-2