A class of test functions for global optimization

Authors

R. Mathar, A. Zilinskas,

Abstract

        We suggest weighted least squares scaling - a basic method in multidimensional scaling - as a class of test functions for global optimization. The functions are easy to code, cheap to calculate, and have important applications in data analysis. For certain data these functions have many local minima. Some characteristic features of the test functions are investigated.

BibTEX Reference Entry 

@article{MaZi94b,
	author = {Rudolf Mathar and Antanas Zilinskas},
	title = "A class of test functions for global optimization",
	pages = "195-199",
	journal = "Journal of Global Optimization",
	volume = "5",
	year = 1994,
	}

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