ǂThe ǂ100-digit challenge

algorithm jDE100

Janez Brest (Author), Mirjam Sepesy Maučec (Author), Borko Bošković (Author)

Abstract

Real parameter optimization problems are often very complex and computationally expensive. We can find such problems in engineering and scientific applications. In this paper, a new algorithm is proposed to tackle the 100-Digit Challenge. There are 10 functions representing 10 optimization problems, and the goal is to compute each function’s minimum value to 10 digits of accuracy. There is no limit on either time or the maximum number of function evaluations. The proposed algorithm is based on the self-adaptive differential evolution algorithm jDE. Our algorithm uses two populations and some other mechanisms when tackling the challenge. We provide the score for each function as required by the organizers of this challenge competition.

Keywords

diferencialna evolucija;optimizacija;differential evolution;optimization;global optimum;accuracy;

Data

Language:	English
Year of publishing:	2019
Typology:	1.08 - Published Scientific Conference Contribution
Organization:	UM FERI - Faculty of Electrical Engineering and Computer Science
UDC:	004.8
COBISS:	22431510
Views:	265
Downloads:	12
Average score:	0 (0 votes)
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