Practical and scalable evolution of digital circuits

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@Article{Shanthi2008,

• author = "A. P. Shanthi and Ranjani Parthasarathi",
• title = "Practical and scalable evolution of digital circuits",
• journal = "Applied Soft Computing",
• year = "2009",
• volume = "9",
• number = "2",
• pages = "618--624",
• month = mar,
• keywords = "genetic algorithms, genetic programming, Cartesian Genetic Programming, Evolvable hardware, EHW, Scalability, Digital circuits",
• ISSN = "1568-4946",
• DOI = "doi:10.1016/j.asoc.2008.08.004",
• URL = "http://www.sciencedirect.com/science/article/B6W86-4T9CCPD-1/2/75fb89ae05df548f839cb79ad371e0df",
• abstract = "This paper addresses the scalability problem prevalent in the evolutionary design of digital circuits and shows that Evolvable Hardware (EHW) can indeed be considered as a viable alternative design methodology for large and complex circuits. Despite the effort by the EHW community to overcome the scalability problems using both direct mapped techniques and developmental approaches, so far only small circuits have been evolved. This paper shows that, by partitioning a digital circuit and making use of a modular developmental approach, namely, the Modular Developmental Cartesian Genetic Programming (MDCGP) technique, it is indeed possible to evolve large circuits. As a proof of concept, a 5 x 5 multiplier is evolved for partition sizes of 32 and 64. It is shown that compared to the direct evolution technique, the MDCGP technique provides five times reduction in terms of evolution times, 6-56percent reduction in area and improved fault tolerance. The technique is readily scalable and can be applied to even larger partition sizes, and also to sequential circuits, thus providing a promising path to evolve large and complex circuits.",

}

Genetic Programming entries for A P Shanthi Ranjani Parthasarathi

Citations