Jump to content

Memetic Computing

From Wikipedia, the free encyclopedia
This is an old revision of this page, as edited by Bali0001 (talk | contribs) at 09:35, 17 April 2019. The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.

Memetic Computing is a novel computing paradigm that improves the performance of artificial systems in the search and optimization domain using memes[1].

The term Memetic Computing is often unassumingly taken to mean the same thing as memetic algorithms in a synonymous manner. Clearly, such a narrow and restrictive notion or perception of Memetic computing does not do justice to the expanse of this research discipline. Memetic computing thus offers a much broader scope, perpetuating the idea of memes into concepts that capture the richness of algorithms that defines a new generation of computational methodologies. It is defined as a paradigm that uses the notion of meme(s) as units of information encoded in computational representations for the purpose of problem solving.

=Methods

Handcrafted memes

machine crafted memes

Applications

xxxx

Recent research work has also shown that the concept of "meme" dispersal and selection can be exploited in, for example, robotics engineering, multi-agent systems, robotics, optimization, software engineering, and the social sciences.
  1. ^ Gupta, A., Ong, Y. S., & Feng, L. (2018). Insights on transfer optimization: Because experience is the best teacher. IEEE Transactions on Emerging Topics in Computational Intelligence, 2(1), 51-64.