| Title: | The 100-digit challenge : algorithm jDE100 |
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| Authors: | ID Brest, Janez (Author)
ID Sepesy Maučec, Mirjam (Author)
ID Bošković, Borko (Author) |
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| Files: |  CEC2019_jDE100.pdf (425,62 KB)
MD5: 68B061E509D0BDAB9C098A669A222083
 CEC_19402_Brest_jDE100-ver2.0-5July2019.tar.gz (498,86 KB)
MD5: 6574F5157BD1944541E12A5C66B9BCAB
 https://ieeexplore.ieee.org/document/8789904
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| Language: | English |
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| Work type: | Not categorized |
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| Typology: | 1.08 - Published Scientific Conference Contribution |
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| Organization: | FERI - Faculty of Electrical Engineering and Computer Science
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| 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. |
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| Keywords: | differential evolution, optimization, global optimum, accuracy |
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| Publication status: | Submitted to the publisher |
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| Number of pages: | Str. 19-26 |
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| PID: | 20.500.12556/DKUM-81814  |
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| UDC: | 004.8 |
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| COBISS.SI-ID: | 22431510 |
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| Publication date in DKUM: | 23.01.2023 |
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| Views: | 855 |
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| Downloads: | 101 |
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| Metadata: |    |
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| Categories: | Misc.
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