Ranking & Metrics Journal Information Aims & Scope of the Journal Special Issues
Swarm and Evolutionary Computation

Swarm and Evolutionary Computation

Research
Impact Score 6.11

OFFICIAL WEBSITE

Ranking & Metrics Impact Score is a novel metric devised to rank conferences based on the number of contributing top scientists in addition to the h-index estimated from the scientific papers published by top scientists. See more details on our methodology page.

Research Impact Score: 6.11
JCR Impact Factor: 6.912
SCIMAGO SJR: 1.65
Scopus Citescore: 9.4
SCIMAGO H-index: 51
Research Ranking (Computer Science) 117
Number of Top scientists: 26
Documents by top scientists: 52

Journal Information

ISSN: 2210-6502
Publisher: Swarm and Evolutionary Computation
Periodicity: Bi-Monthly
Editors-in-Chief: S. Das, P.N. Suganthan

Aims & Scope of the Journal

Swarm and Evolutionary Computation offers a place for the publication of recent research results in the swiftly growing fields of Computational Theory and Mathematics and Machine Learning & Artificial intelligence . Swarm and Evolutionary Computation provides high-quality, original contributions where all submitted articles are peer reviewed to guarantee top quality. The journal welcomes submissions from the research community where emphasis will be placed on the novelty and the practical importance of the published research.



Swarm and Evolutionary Computation is listed in a wide variety of abstracting and indexing datasets like Scopus, Web of Science and Guide2Research. Many leading scholars have published their research contributions at this Journal including P. N. Suganthan, Swagatam Das, Carlos A. Coello Coello and Kalyanmoy Deb.

For additional details on the guidelines and submission prerequisites for authors, please consult the official website for the journal for Swarm and Evolutionary Computation at https://www.journals.elsevier.com/swarm-and-evolutionary-computation/ .

Special Issues

Publisher Journal Details Closing date G2R Score
Swarm and Evolutionary Computation derived from TPNC 2020

09-03-2021

6.11

Advanced Intelligent Optimization Algorithms for Distributed Shop Scheduling

30-06-2020

6.11

Advanced Intelligent Optimization Algorithms for Distributed Shop Scheduling

30-06-2020

6.11

Bio-inspired evolutionary computations and their application (BIC-TA19)

01-05-2020

6.11

: “Parallel/Distributed Combinatorics and Optimization”

15-09-2019

6.11

Differential Evolution

Differential Evolution

Swarm and Evolutionary Computation

01-03-2018

6.11

Immune Computation and Applications

Immune Computation and Applications

Swarm and Evolutionary Computation

15-02-2018

6.11