Advances in Metaheuristics and Learnheuristics (2019–2026): A Comprehensive Review, Taxonomy, and Future Directions

Authors

Tansel Dökeroğlu (ORCID: https://orcid.org/0000-0003-1665-5928)
Deniz Canturk (ORCID: https://orcid.org/0000-0002-7606-8701)

Institutions

TED University (TR)

Publication Details

Journal: Journal of Data Science and Intelligent Systems
Published: 2026-11-12
DOI: https://doi.org/10.47852/bonviewjdsis62028069
Primary Topic: Metaheuristic Optimization Algorithms Research
Type: article
Field-Weighted Citation Impact: 0.00

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

NOV

article

Advances in Metaheuristics and Learnheuristics (2019–2026): A Comprehensive Review, Taxonomy, and Future Directions

Tansel Dökeroğlu, Deniz Canturk

Nov 12, 2026

Journal of Data Science and Intelligent Systems

Metaheuristic Optimization Algorithms Research

article

Advances in Metaheuristics and Learnheuristics (2019–2026): A Comprehensive Review, Taxonomy, and Future Directions

Tansel Dökeroğlu, Deniz Canturk

November 12, 2026article en

Abstract

No abstract available for this paper.

Journal of Data Science and Intelligent Systems

TED University (TR)

Metaheuristic Optimization Algorithms Research

DOI Open Access PDF OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon

Advances in Metaheuristics and Learnheuristics (2019–2026): A Comprehensive Review, Taxonomy, and Future Directions — Tansel Dökeroğlu, Deniz Canturk · Journal of Data Science and Intelligent Systems (2026) | TGRS Research Map | TGRS