Data Search Process Optimization using Brute Force and Genetic Algorithm Hybrid Method
High accuracy and speed in data search, which are aims at finding the best solution to a problem, are essential. This study examines the brute force method, genetic algorithm, and two proposed algorithms which are the development of the brute force algorithm and genetic algorithm, namely Multiple Cr...
Saved in:
| Main Authors: | Yudha Riwanto, Muhammad Taufiq Nuruzzaman, Shofwatul Uyun, Bambang Sugiantoro |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
State Islamic University Sunan Kalijaga
2023-01-01
|
| Series: | IJID (International Journal on Informatics for Development) |
| Subjects: | |
| Online Access: | https://ejournal.uin-suka.ac.id/saintek/ijid/article/view/3743 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A hybrid genetic tabu search algorithm based on a multi-operation joint movement neighborhood structure for job shop scheduling problems
by: Lei Wang, et al.
Published: (2025-08-01) -
A nonrevisiting genetic algorithm based on multi-region guided search strategy
by: Qijun Wang, et al.
Published: (2024-11-01) -
Optimization method of truss structure size and shape based on harmonic search genetic algorithm
by: XIE Jun, et al.
Published: (2025-03-01) -
iSeqSearch: incremental protein search for iBlast/iMMSeqs2/iDiamond
by: Hyunwoo Yoo, et al.
Published: (2025-04-01) -
Genetic Algorithms Applied to Optimize Neural Network Training in Reference Evapotranspiration Estimation
by: Eluã Ramos Coutinho, et al.
Published: (2025-04-01)