Swarm and Evolutionary Computation

Journal Title
Swarm and Evolutionary Computation

SWARM EVOL COMPUT

ISSN / eISSN
2210-6502
Aims and Scope
Swarm and Evolutionary Computation is the first peer-reviewed publication of its kind that aims at reporting the most recent research and developments in the area of nature-inspired intelligent computation based on the principles of swarm and evolutionary algorithms. It publishes advanced, innovative and interdisciplinary research involving the theoretical, experimental and practical aspects of the two paradigms and their hybridizations. Swarm and Evolutionary Computation is committed to timely publication of very high-quality, peer-reviewed, original articles that advance the state-of-the art of all aspects of evolutionary computation and swarm intelligence. Survey papers reviewing the state-of-the-art of timely topics will also be welcomed as well as novel and interesting applications.

Topics of interest include but are not limited to: Genetic Algorithms, and Genetic Programming, Evolution Strategies, and Evolutionary Programming, Differential Evolution, Artificial Immune Systems, Particle Swarms, Ant Colony, Bacterial Foraging, Artificial Bees, Fireflies Algorithm, Harmony Search, Artificial Life, Digital Organisms, Estimation of Distribution Algorithms, Stochastic Diffusion Search, Quantum Computing, Nano Computing, Membrane Computing, Human-centric Computing, Hybridization of Algorithms, Memetic Computing, Autonomic Computing, Self-organizing systems, Combinatorial, Discrete, Binary, Constrained, Multi-objective, Multi-modal, Dynamic, and Large-scale Optimization.
Subject Area

COMPUTER SCIENCE, THEORY & METHODS

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

CiteScore
18.90 View Trend
CiteScore Ranking
Category Quartile Rank
Mathematics - General Mathematics Q1 #3/387
Mathematics - General Computer Science Q1 #8/233
Web of Science Core Collection
Science Citation Index Expanded (SCIE) Social Sciences Citation Index (SSCI)
Indexed -
Category (Journal Citation Reports 2023) Quartile
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE - SCIE Q1
COMPUTER SCIENCE, THEORY & METHODS - SCIE Q1
H-index
43
Country/Area of Publication
NETHERLANDS
Publisher
Elsevier BV
Annual Article Volume
173
Open Access
NO
Contact
RADARWEG 29, AMSTERDAM, NETHERLANDS, 1043 NX
Verified Reviews
Note: Verified reviews are sourced from across review platforms and social media globally.
Dec 22, 2021 Submission
Jan 22, 2022 First revision (Three reviewers provided minor revisions + AE gave multiple comments, totaling four reviewers)
Feb 08, 2022 Resubmitted after revision
Mar 21, 2022 Second revision (Two acceptances, AE and one reviewer provided additional comments)
Apr 08, 2022 Resubmitted after revision
May 21, 2022 Completed - Accept

Overall, the process was very fast. The AE's comments were very strict and difficult to address, but also very professional. The article went through two rounds of review in the journal Knowledge-Based Systems, taking 14 months (10 months for the first review, with only two reviewers providing insignificant comments). It was ultimately unreasonably rejected by the editor, and I almost gave up. However, when I submitted it to SEC, it unexpectedly went smoothly. I feel very lucky.
2022-05-09
Some are fast, while others are slow. It takes more than two years in some cases. I think the speed of review is related to the associate editor we encounter. Some associate editors are very slow in handling, taking a month to process the manuscript once it reaches their hands, and then another month to process it after receiving the review comments. It cannot be denied that this journal has improved its quality very quickly, and its reputation in the evolutionary algorithm community is very good. I feel that CCF should consider including it.
2022-08-07

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now