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Evolvable Hardware : Genetic and Evolutionary Computation - Tetsuya Higuchi

Evolvable Hardware

By: Tetsuya Higuchi (Editor), Xin Yao (Editor)

Hardcover | 1 February 2009

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Evolvable hardware (EHW) is based on the idea of combining a reconfigurable hardware device with genetic algorithms to execute reconfiguration autonomously. FPGA (Field Programmable Gate Array) and PLD (Programmable Logic Devices) are typical examples of reconfigurable hardware devices, for which there is already a market worth more than USD2 Billion US dollars and growing at 23 per cent per year. An example of EHW is NASA's Space Technology 5 nanosatellites, which are scheduled to start measuring Earth's magnetosphere in late 2004. They were designed by NASA engineers using genetic algorithms and 32 Linux PCs. The computers generated small antenna-constructing programs (the genotypes) and executed them to produce designs (the phenotypes). If deployed it will be the first piece of evolved hardware ever to be launched into space.
Industry Reviews

From the reviews:

"'Evolvable Hardware' ... is the newest title in David E. Goldberg and John R. Koza's 'Genetic and Evolutionary Computation' book series. It is directed at advanced-level students interested in evolvable hardware (EHW). ... it includes a collection of 11 examples of cutting-edge research and applications that will attract EHW specialists. ... It is a good book for EHW researchers, since it brings together articles specially selected by editors, who are very experienced in the field, to trace the state of the art in EHW applications." (Eduardo do Valle Simoes, Genetic Programming and Evolvable Machines, Vol. 8, 2007)

"The general field of genetic algorithms, evolutionary hardware, and genetic programming has grown steadily over the last 15 years. ... This book can be considered unique in that it concentrates heavily on the development of hardware to support these efforts ... . This has added appeal, in that it is highly applicable and generalizable to many practical areas. The editors and authors of the chapters did a fine job in communicating these advanced technologies and applications to a wide audience." (Minette Carl and Michael Goldberg, ACM Computing Reviews, Vol. 49 (3), March, 2008)

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