Hybrid Optimization Approaches: A Systematic Review of the Whale Optimization Algorithm and its Variants
Fuente:
Zenodo
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Recurso digital |
| Veröffentlicht: |
Zenodo
2025
|
| Online-Zugang: | |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| _version_ | 1866901118310678528 |
|---|---|
| author | IJMSRT |
| author_facet | IJMSRT |
| contents | <p>Abstract- In this paper, we proposed a hybrid <br>approach <br>that <br>combines <br>the <br>Whale <br>Optimization Algorithm (WOA) with the <br>Particle Swarm Optimization (PSO) algorithm. <br>Using this hybridization, this paper achieved a <br>balance between exploration and exploitation. <br>By combining the strengths of both <br>algorithms, this hybrid approach enhances <br>solution accuracy and convergence speed. To <br>evaluate its effectiveness, this paper tested the <br>hybrid model using a total of 23 benchmark <br>functions, which provided insights into its <br>performance across various optimization</p> <p>scenarios.This review explores WOA and its</p> <p>hybrid variations,discussing their improvements. </p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15526530 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Hybrid Optimization Approaches: A Systematic Review of the Whale Optimization Algorithm and its Variants IJMSRT <p>Abstract- In this paper, we proposed a hybrid <br>approach <br>that <br>combines <br>the <br>Whale <br>Optimization Algorithm (WOA) with the <br>Particle Swarm Optimization (PSO) algorithm. <br>Using this hybridization, this paper achieved a <br>balance between exploration and exploitation. <br>By combining the strengths of both <br>algorithms, this hybrid approach enhances <br>solution accuracy and convergence speed. To <br>evaluate its effectiveness, this paper tested the <br>hybrid model using a total of 23 benchmark <br>functions, which provided insights into its <br>performance across various optimization</p> <p>scenarios.This review explores WOA and its</p> <p>hybrid variations,discussing their improvements. </p> |
| title | Hybrid Optimization Approaches: A Systematic Review of the Whale Optimization Algorithm and its Variants |
| url | https://doi.org/10.5281/zenodo.15526530 |