Abstract
Evolvable hardware(EHW) refers to hardware that can change its architecture and behavior dynamically and autonomously by interacting with its environment, and ant colony optimization is a meta-heuristic algorithm for the approximate solution of combinatorial optimization problems that has been inspired by the foraging behavior of real ant colonies. In this paper, we take a broad view on the progresses of ant colony optimization-based EHW, which include ant colony optimization-based random number generator, FPGA implementation, digital circuits, digital IIR filters and so on. Some important issues of the challenges of ant colony optimization-based EHW are also presented, and online realization, robustness, generalization, disaster problem are four key challenging issues of ant colony optimization-based EHW in the future
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