Basin Hopping Networks of continuous global optimization problems
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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.
KeywordsBenchmarking Network science Continuous global optimization Basin Hopping
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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