Memetic-Computing
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][3][4]
The term memetic computing is often unassumingly misinterpreted to mean the same thing as memetic algorithms[5] 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
The concept of memes have been exploited in various research fields, for example, robotics engineering, multi-agent systems, robotics, optimization[6], software engineering, and the social sciences etc.
See also
References
- ^ Dawkins, R. (1976). The selfish gene. Oxford University Press.
- ^ Ong, Y. S., Lim, M. H., & Chen, X. (2010). Memetic computation—past, present & future [research frontier]. IEEE Computational Intelligence Magazine, 5(2), 24-31.
- ^ Chen, X., Ong, Y. S., Lim, M. H., & Tan, K. C. (2011). A multi-facet survey on memetic computation. IEEE Transactions on Evolutionary Computation, 15(5), 591-607.
- ^ Gupta, A., & Ong, Y. S. (2018). Memetic Computation: The Mainspring of Knowledge Transfer in a Data-Driven Optimization Era (Vol. 21). Springer.
- ^ Moscato, P. (1989). On evolution, search, optimization, genetic algorithms and martial arts: Towards memetic algorithms. Caltech concurrent computation program, C3P Report, 826, 1989.
- ^ Feng, L., Ong, Y. S., Lim, M. H., & Tsang, I. W. (2015). Memetic search with interdomain learning: A realization between CVRP and CARP. IEEE Transactions on Evolutionary Computation, 19(5), 644-658.