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 05:51, 18 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 computational paradigm that incorporates the notion of meme(s)[1] as basic units of transferable information encoded in computational representations for boosting the performance of artificial evolutionary systems in the domain of search and optimization[2].

The term memetic computing is often unassumingly misinterpreted to mean the same thing as memetic algorithms that typically hybridize population-based global search algorithms with one or more local search schemes. Notably, memetic computing offers a much more broader scope, perpetuating the idea of memes into concepts that pave way towards simultaneous problem learning and optimization approach.


=Methods

Handcrafted memes

machine crafted memes

Applications

Recent research works have shown various success 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 etc.

See also

References

mmcomputing with interdomain learning multifacet survey memetic. memetic computing, past,present and future.

  1. ^ Dawkins, R. (1976). The selfish gene. Oxford University Press÷.
  2. ^ Gupta, A., & Ong, Y. S. (2018). Memetic Computation: The Mainspring of Knowledge Transfer in a Data-Driven Optimization Era (Vol. 21). Springer.