Cooperative Model for Nature-Inspired Algorithms in Solving Real-World Optimization Problems

被引：5

作者：

Bujok, Petr ^{[1
]}

机构：

[1] Univ Ostrava, Dept Informat & Comp, 30 Dubna 22, Ostrava 70200, Czech Republic

来源：

BIOINSPIRED OPTIMIZATION METHODS AND THEIR APPLICATIONS, BIOMA 2018 | 2018年 / 10835卷

关键词：

Global optimization; Nature-inspired algorithms; Real-world problems; Cooperative model; DIFFERENTIAL EVOLUTION; MIGRATION;

D O I：

10.1007/978-3-319-91641-5_5

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A cooperative model of eight popular nature-inspired algorithms (CoNI) is proposed and compared with the original algorithms on benchmark set CEC 2011 collection of 22 real-world optimization problems. The results of experiments demonstrate the superiority of CoNI variant in the most of the real-world problems although some of original nature-inspired algorithms perform rather poorly. Proposed CoNI shares the best position in 20 out of 22 problems and achieves the best results in 8 out 22 test problems. Further fundamental points for improvement of CoNI are in selection of topology, migration policy, and migration frequency.

引用

页码：50 / 61

页数：12

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