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Memetic-Computing

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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

Recent research works have 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.

Applications

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.