Promises and challenges of evolvable hardware
- 1 February 1999
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews)
- Vol. 29 (1), 87-97
- https://doi.org/10.1109/5326.740672
Abstract
Evolvable hardware (EHW) has attracted increasing attention since the early 1990s with the advent of easily reconfigurable hardware, such as field programmable gate arrays (FPGAs). It promises to provide an entirely new approach to complex electronic circuit design and new adaptive hardware. EHW has been demonstrated to be able to perform a wide range of tasks, from pattern recognition to adaptive control. However, there are still many fundamental issues in EHW that remain open. This paper reviews the current status of EHW, discusses the promises and possible advantages of EHW, and indicates the challenges we must meet in order to develop practical and large-scale EHW.Keywords
This publication has 47 references indexed in Scilit:
- Evolutionary design of artificial neural networks with different nodesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Achieving von Neumann's dream: artificial life on siliconPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Evolvable hardware at function levelPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A new evolutionary system for evolving artificial neural networksIEEE Transactions on Neural Networks, 1997
- Through the labyrinth evolution finds a way: A silicon ridgeLecture Notes in Computer Science, 1997
- An evolved circuit, intrinsic in silicon, entwined with physicsLecture Notes in Computer Science, 1997
- ATM cell scheduling by function level evolvable hardwareLecture Notes in Computer Science, 1997
- FPGA implementation of an adaptable-size neural networkLecture Notes in Computer Science, 1996
- Unconstrained evolution and hard consequencesPublished by Springer Science and Business Media LLC ,1996
- A Numerical Approach to Genetic Programming for System IdentificationEvolutionary Computation, 1995