Farmer Ants Optimization Algorithm: A Novel Metaheuristic for Solving Discrete Optimization Problems
Currently, certain complex issues are classified as NP-hard problems, for which there is no exact solution, or they cannot be solved in a reasonable amount of time. As a result, metaheuristic algorithms have been developed as an alternative. These algorithms aim to approximate the optimal solution r...
Saved in:
| Main Authors: | Ali Asghari, Mahdi Zeinalabedinmalekmian, Hossein Azgomi, Mahmoud Alimoradi, Shirin Ghaziantafrishi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
|
| Series: | Information |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2078-2489/16/3/207 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Comparison Performance of Genetic Algorithm and Ant Colony Optimization in Course Scheduling Optimizing
by: Imam Ahmad Ashari, et al.
Published: (2016-11-01) -
Cloud drift optimization algorithm as a nature-inspired metaheuristic
by: Mohammad Alibabaei Shahraki
Published: (2025-08-01) -
Acp-mo: a novel metaheuristic optimization algorithm based on an advanced ceramic processing metaphor for optimization
by: Jincheng Zhang
Published: (2025-06-01) -
Mechanical and Civil Engineering Optimization with a Very Simple Hybrid Grey Wolf—JAYA Metaheuristic Optimizer
by: Chiara Furio, et al.
Published: (2024-11-01) -
Efficient cluster center optimization: A novel hybrid metaheuristic
by: Saeideh Barkhordari Firozabadi, et al.
Published: (2025-03-01)