SCOPUS
Adaptation, Learning, and Optimization
Springer Nature, United States
Adaptation, Learning, and Optimization is an academic journal published by Springer Nature (United States). Identifiers: ISSN 1867-4534, eISSN 1867-4542. Indexed in SCOPUS. Metrics: CiteScore 3.7. tlooto lists 24 papers from this journal.
CiteScore
3.70
Scopus citation metric
SJR
-
SCImago rank
SNIP
-
Source normalized impact
Percentage rank
-
JIF percentile rank
Journal profile
- ISSN
- 1867-4534
- eISSN
- 1867-4542
- Abbreviation
- -
- Publisher
- Springer Nature
- Country
- United States
Web of Science categories
No Web of Science category data available.
Scopus ASJC categories
17002614 Theoretical Computer Science
Papers in this journal
Recent papers
- Introduction
2021
- Genetic Programming for Image Classification
2021 · 21 citations
- Evolutionary and Memetic Computing for Project Portfolio Selection and Scheduling: An Introduction
2021 · 2 citations
- Computer Vision and Machine Learning
2021 · 21 citations
- Introduction
2021
Most cited papers
- Computational Intelligence in Sports
2019 · 47 citations
- Brain Storm Optimization Algorithms: Concepts, Principles and Applications
2019 · 16 citations
- Memetic Computation
2019 · 11 citations
- Multitask Knowledge Transfer Across Problems
2018 · 4 citations
- A Temporal Knapsack Approach to Defence Portfolio Selection
2021 · 4 citations