Komodo Mlipir Algorithm
Suyanto Suyanto, Alifya Aisyah Ariyanto, Alifya Fatimah Ariyanto
Informasi Umum
Kode
24.55.046
Klasifikasi
004 - Data processing, Computer science
Jenis
e - Article Journal
Subjek
Computer Science
No. Rak
Dilihat
1480 kali
Informasi Lainnya
Abstraksi
This paper proposes Komodo Mlipir Algorithm (KMA) as a new metaheuristic optimizer. It is inspired by two phenomena: the behavior of Komodo dragons living in the East Nusa Tenggara, Indonesia, and the Javanese gait named mlipir. Adopted the foraging and reproduction of Komodo dragons, the population of a few Komodo individuals (candidate solutions) in KMA are split into three groups based on their qualities: big males, female, and small males. First, the high-quality big males do a novel movement called high-exploitation low-exploration to produce better solutions. Next, the middle-quality female generates a better solution by either mating the highest-quality big male (exploitation) or doing parthenogenesis (exploration). Finally, the low-quality small males diversify candidate solutions using a novel movement called mlipir (a Javanese term defined as a walk on the side of the road to reach a particular destination safely), which is implemented by following the big males in a part of their dimensions. A self-adaptation of the population is also proposed to control the exploitation–exploration balance. An examination using the well-documented twentythree benchmark functions shows that KMA outperforms the recent metaheuristic algorithms. Besides, it provides high scalability to optimize thousand-dimensional functions. The source code of KMA is publicly available
Koleksi & Sirkulasi
Tersedia 1 dari total 1 Koleksi
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Pengarang
| Nama | Suyanto Suyanto, Alifya Aisyah Ariyanto, Alifya Fatimah Ariyanto |
| Jenis | Perorangan |
| Penyunting | |
| Penerjemah |
Penerbit
| Nama | cience direct |
| Kota | New York |
| Tahun | 2022 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 0,00 |
| Jenis | Non-Sirkulasi |
