Who publishes Memetic Computing?

Memetic Computing is published by Springer.

What is the ISSN of Memetic Computing?

The ISSN of Memetic Computing is 1865-9284.

What is the impact factor of Memetic Computing?

The reported impact factor of Memetic Computing is 2.3. Impact factor values are reproduced from publishers and may lag the latest JCR release.

Información de la Revista

Memetic Computing

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Factor de Impacto:

2.3

Editor:

Springer

ISSN:

1865-9284

Vistas:

17419

Seguidores:

0

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Solicitud de Artículos

Memetic Computing is an academic journal published by Springer. (ISSN 1865-9284, impact factor 2.3).

Aims and scope Many instances of research in computer science and artificial intelligence (AI) draw inspiration from metaphorical real-world physical and biological systems. Notwithstanding, cultural evolution embodies memes as basic units of transferable information within the mental faculty and propagate across populations through imitation and adaptation. Algorithmically, they are essentially knowledge building blocks expressed in various computational representations (e.g., heuristics, simple or fuzzy logic, decision trees, artificial neural models, probability distributions, etc.). Extending and generalizing the genetic metaphor for evolutionary optimization, these representations are acquired through human or machine experience and can be exploited through imitation and adaptation, significantly enhancing the effectiveness of problem-solving systems. The emergence and advancement in machine learning has transformed the scientific landscape of algorithmics and AI into a symbiotic embodiment which is consistent with the conceptual ideology of memetic computing. This has shifted the perception of multiple competing "paradigms" to the idea that an algorithm can seamlessly blend multiple heterogeneous elements within a problem-solving framework. In this context, most modern machine learning algorithms implicitly and explicitly embrace the philosophy of memetic computing. This journal publishes original research articles focusing on algorithmic aspects and innovative implementations of machine learning and AI, with an interest in both exact and heuristic approaches. Review articles offering original insights into the current state-of-art research as well as forward looking research developments are also welcome. Additionally, interesting real-world applications that perpetuate the notion of knowledge as building blocks acquired within an AI foundational framework are encouraged.

Última actualización por Dou Sun el 2025-12-30

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Conferencias Relacionadas

CCF	ICORE	CP-I	Abreviación	Nombre Completo	Entrega	Fecha de conferencia
A	A*	92,4	SIGIR	International Conference on Research and Development in Information Retrieval	2026-01-15	2026-07-20
A	A*	97,7	AAAI	AAAI Conference on Artificial Intelligence	2026-07-21	2027-02-16
A	A*	90,7	CVPR	IEEE Conference on Computer Vision and Pattern Recognition	2025-11-06	2026-06-03
B	A*	89,4	ICRA	International Conference on Robotics and Automation	2026-09-15	2027-05-24
B	A*	94,0	IJCAI	International Joint Conference on Artificial Intelligence	2026-01-31	2026-08-15
A	A*	89,2	STOC	ACM Symposium on Theory of Computing	2025-11-04	2026-06-22
C		87,0	ICC	International Conference on Communications	2026-10-02	2027-05-30
C	B	62,5	IJCNN	International Joint Conference on Neural Networks	2027-01-31	2027-06-14
B		91,0	ICASSP	International Conference on Acoustics, Speech and Signal Processing	2026-09-16	2027-05-16
B	A*	79,4	PODS	ACM SIGMOD Conference on Principles of DB Systems	2026-12-03	2027-06-13

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