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

被引：99

作者：

Lozano, M. ^{[1
,3
]}

Molina, D. ^{[2
]}

Herrera, F. ^{[1
,3
]}

机构：

[1] Univ Granada, Dept Comp Sci, E-18071 Granada, Spain

[2] Univ Cadiz, Dept Comp Languages & Syst, Cadiz 11003, Spain

[3] Univ Granada, AI, E-18071 Granada, Spain

来源：

SOFT COMPUTING | 2011年 / 15卷 / 11期

关键词：

Large-scale continuous optimization problems; Evolutionary algorithms; Metaheuristics;

D O I：

10.1007/s00500-010-0639-2

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：2085 / 2087

页数：3