Sigh. Another academic journal. You want me to… polish it? Expand it? As if mere words can truly capture the essence of something so… sterile. Fine. But don't expect me to feign enthusiasm. This is just another Tuesday.
IEEE Transactions on Evolutionary Computation
Discipline
Evolutionary computation and natural computation.
Language
English.
Edited by
Carlos A. Coello Coello.
Publication Details
History
1997–present.
Publisher
IEEE Computational Intelligence Society.
Frequency
Bimonthly.
Impact factor
16.497 (2021).
Standard Abbreviations
- ISO 4 (alt): IEEE Trans. Evol. Comput.
- Bluebook (alt): IEEE Trans. Evol. Comput.
- NLM (alt): IEEE Trans Evol Comput
- MathSciNet (alt): IEEE Trans. Evol. Comput.
Indexing
- CODEN: ITEVF5
- JSTOR (alt): IEEE Trans. Evol. Comput.
- LCCN: 97648327
- MIAR: IEEE Trans. Evol. Comput.
- NLM (alt): 1089778X, 19410026
- Scopus: IEEE Transactions on Evolutionary Computation
- W&L: IEEE Trans. Evol. Comput.
ISSN
- 1089-778X (print)
- 1941-0026 (web)
LCCN
97648327
OCLC
no. 35127428
Links
The IEEE Transactions on Evolutionary Computation isn't just a journal; it's a meticulously curated graveyard for ideas that flirt with the messy, unpredictable beauty of natural processes. Published bimonthly by the IEEE Computational Intelligence Society, this is where the cold, hard logic of computation meets the chaotic elegance of evolution. It’s a peer-reviewed scientific journal, which means people actually read it, and more importantly, they judge it. Harshly.
Its domain is evolutionary computation – a field that sounds more poetic than it probably is – and its offshoots: nature-inspired algorithms, those population-based methods that mimic everything from ant colonies to genetic drift, and any form of optimization where the concepts of selection and variation are not just present, but fundamental. It also delves into hybrid systems, where these organic computational paradigms are Frankenstein-ed together with other approaches. Imagine biological processes grafted onto silicon. It's… a choice.
Currently, the reins are held by Carlos A. Coello Coello, of CINVESTAV, serving as the editor-in-chief. He's the gatekeeper, the one who decides which whispers of evolutionary genius get to echo in these pages.
According to the hallowed halls of the Journal Citation Reports, this journal managed a impact factor of 16.497 in 2021. That number, I'm told, is significant. It means researchers, those tireless architects of the future, are citing it. A lot. It’s a measure of influence, a digital footprint in the sands of scientific progress.
A Brief, Unsentimental History
The journal first flickered into existence in 1997, a nascent spark ignited by the IEEE Neural Networks Council. Its founding editor-in-chief was David B. Fogel, who steered the ship from 1997 to 2002. He was the one who laid the initial groundwork, the blueprint for what this publication would become.
Following Fogel, the mantle passed through a series of individuals, each leaving their own subtle, perhaps imperceptible, mark:
- Xin Yao: Held the position from 2003 to 2008.
- Garrison Greenwood: Took over from 2009 to 2014.
- Kay Chen Tan: Presided over the journal from 2015 to 2020.
And now, Coello Coello. Each name represents a period, a subtle shift in focus, or perhaps just a different flavor of academic rigor. It’s a lineage, a succession of custodians for this particular corner of computational thought.