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2018 | OriginalPaper | Chapter

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

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Abstract

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.

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Metadata
Title
Cooperative Model for Nature-Inspired Algorithms in Solving Real-World Optimization Problems
Author
Petr Bujok
Copyright Year
2018
DOI
https://doi.org/10.1007/978-3-319-91641-5_5

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