Adaptive Lévy Flower Pollination Algorithm for Multiple Objective Optimization
Penulis/Author
KADEK GEMILANG S (1); Prof. Drs. Retantyo Wardoyo, M.Sc., Ph.D. (2); Afiahayati, S.Kom., M.Cs., Ph.D (3)
Tanggal/Date
2022
Kata Kunci/Keyword
Abstrak/Abstract
The adaptive Lévy flower pollination algorithm (ALFPA) is a recent addition to variants of flower pollination algorithm (FPA). Despite its excellent performance on single-objective problem instances, it has shown inefficiency in the number of function evaluations (FE). Inspired by this, this paper proposed two algorithms extending ALFPA to solve multiple objective problems while also improving FE efficiency. The first algorithm proposed is ALFPA with non-dominated sorting denoted as MO-ALFPA alongside two variants which are proposed to improve its FE efficiency denoted as MO-ALFPAT and MO-ALFPAB. The second proposed algorithm, MOEA/D-ALFPA, uses a decomposition strategy instead of non-dominated sorting on MO-ALFPA. The empirical study on two benchmark suits shows that MO-ALFPAT and MOEA/D-ALFPA performed better than other methods. Furthermore, MO ALFPAT and MOEA/D-ALFPA produced the best results in three benchmark instances, based on the inverted generational distance indicator, and two and three best results based on the hypervolume indicator, respectively.
Rumpun Ilmu
Ilmu Komputer
Bahasa Asli/Original Language
English
Level
Internasional
Status
Dokumen Karya
No
Judul
Tipe Dokumen
Aksi
1
2022022814-2.pdf
[PAK] Full Dokumen
2
Surat Pernyataan Paper melibatkan mahasiswa- Kadek IJIES signed.pdf
Dokumen Pendukung Karya Ilmiah (Hibah, Publikasi, Penelitian, Pengabdian)
3
Bukti Korespondensi MO-ALFPA Kadek.pdf
[PAK] Bukti Korespondensi Penulis
4
SuratPernyataan-Afiahayati-KadekGemilang.pdf
Dokumen Pendukung Karya Ilmiah (Hibah, Publikasi, Penelitian, Pengabdian)
