Studying the Impact of Initialization for Population-Based Algorithms with Low-Discrepancy Sequences

Studying the Impact of Initialization for Population-Based Algorithms with Low-Discrepancy Sequences

अन्य संस्करण दिखाएं (1)

To solve different kinds of optimization challenges, meta-heuristic algorithms have been extensively used. Population initialization plays a prominent role in meta-heuristic algorithms for the problem of optimization. These algorithms can affect convergence to identify a robust optimum solution. To...

पूर्ण विवरण

ग्रंथसूची विवरण
मुख्य लेखकों: Adnan Ashraf, Sobia Pervaiz, Waqas Haider Bangyal, Kashif Nisar, Ag. Asri Ag. Ibrahim, Joel J. P. C. Rodrigues, Danda B. Rawat
स्वरूप: लेख
भाषा:English
English
प्रकाशित: MDPI AG, Basel, Switzerland 2021
विषय:
QA273-280 Probabilities. Mathematical statistics
QA75.5-76.95 Electronic computers. Computer science
ऑनलाइन पहुंच:https://eprints.ums.edu.my/id/eprint/31833/1/Studying%20the%20Impact%20of%20Initialization%20for%20Population-Based%20Algorithms%20with%20Low-Discrepancy%20Sequences.pdf
https://eprints.ums.edu.my/id/eprint/31833/2/Studying%20the%20Impact%20of%20Initialization%20for%20Population-Based%20Algorithms%20with%20Low-Discrepancy%20Sequences1.pdf

इंटरनेट

https://eprints.ums.edu.my/id/eprint/31833/1/Studying%20the%20Impact%20of%20Initialization%20for%20Population-Based%20Algorithms%20with%20Low-Discrepancy%20Sequences.pdf
https://eprints.ums.edu.my/id/eprint/31833/2/Studying%20the%20Impact%20of%20Initialization%20for%20Population-Based%20Algorithms%20with%20Low-Discrepancy%20Sequences1.pdf

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