Open Access
Open access
Elsevier
Decision Analytics Journal
,  volume 14 ,  pages 100551

A comprehensive review of dwarf mongoose optimization algorithm with emerging trends and future research directions

Olanrewaju L. Abraham 1, 2
, 
Md Asri Ngadi 1
1
 
2
 
Gateway (ICT) Polytechnic Saapade, Information Technology Services Department, Remo North, Ogun State, Nigeria | 
Publication type: Journal Article
Publication date: 2025-03-01
Elsevier
scimago Q1
SJR: 1.354
CiteScore: 10.9
Impact factor: —
ISSN: 27726622
Abstract
The Dwarf Mongoose Optimization (DMO) algorithm, inspired by the behaviors and foraging patterns of dwarf mongooses, is a recently formulated swarm-based metaheuristic method emulating the cooperative behavior of mongooses during food searches. The DMO algorithm effectively addresses various optimization challenges across multiple domains by balancing global and local searches, resulting in near-optimal solutions. Numerous DMO variants have been developed since its inception. A comprehensive survey of recent DMO research from 2022 to August 2024 is provided in this study, beginning with the natural inspiration and conceptual framework of the DMO. It then explores various modifications, hybridizations, and algorithm applications across different fields. Lastly, a meta-analysis of DMO advancements and potential directions for further research are provided.
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Abraham O. L., Ngadi M. A. A comprehensive review of dwarf mongoose optimization algorithm with emerging trends and future research directions // Decision Analytics Journal. 2025. Vol. 14. p. 100551.
GOST all authors (up to 50) Copy
Abraham O. L., Ngadi M. A. A comprehensive review of dwarf mongoose optimization algorithm with emerging trends and future research directions // Decision Analytics Journal. 2025. Vol. 14. p. 100551.
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RIS Copy
TY - JOUR
DO - 10.1016/j.dajour.2025.100551
UR - https://linkinghub.elsevier.com/retrieve/pii/S2772662225000074
TI - A comprehensive review of dwarf mongoose optimization algorithm with emerging trends and future research directions
T2 - Decision Analytics Journal
AU - Abraham, Olanrewaju L.
AU - Ngadi, Md Asri
PY - 2025
DA - 2025/03/01
PB - Elsevier
SP - 100551
VL - 14
SN - 2772-6622
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2025_Abraham,
author = {Olanrewaju L. Abraham and Md Asri Ngadi},
title = {A comprehensive review of dwarf mongoose optimization algorithm with emerging trends and future research directions},
journal = {Decision Analytics Journal},
year = {2025},
volume = {14},
publisher = {Elsevier},
month = {mar},
url = {https://linkinghub.elsevier.com/retrieve/pii/S2772662225000074},
pages = {100551},
doi = {10.1016/j.dajour.2025.100551}
}