Central European Journal of Operations Research

, Volume 25, Issue 4, pp 985–1006 | Cite as

Basin Hopping Networks of continuous global optimization problems

Original Paper

Abstract

Characterization of optimization problems with respect to their solvability is one of the focal points of many research projects in the field of global optimization. Our study contributes to these efforts with the usage of the computational and mathematical tools of network science. Given an optimization problem, a network formed by all the minima found by an optimization method can be constructed. In this paper we use the Basin Hopping method on well-known benchmarking problems and investigate the resulting networks using several measures.

Keywords

Benchmarking Network science Continuous global optimization Basin Hopping 

Notes

Acknowledgements

The authors would like o thank the anonymous reviewers for their valuable comments and suggestions to improve the quality of the paper. T. Vinkó was supported by the Bolyai Scholarship of the Hungarian Academy of Sciences.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2017

Authors and Affiliations

  1. 1.Institute of InformaticsUniversity of SzegedSzegedHungary

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