Indiana University School of Informatics, Computing, and Engineering, Department of Brain and Psychological Sciences.
Rose-Hulman Institute of Technology, Computer Science Department.
Artif Life. 2022 Jan 1;28(4):499-516. doi: 10.1162/artl_a_00377.
Evolvable hardware is a field of study exploring the application of evolutionary algorithms to hardware systems during design, operation, or both. The work presented here focuses on the use of field programmable gate arrays (FPGAs), a type of dynamically reconfigurable hardware device typically used for electronic prototyping in conjunction with a newly created open-source platform for performing intrinsic analog evolvable hardware experiments. This work targets the reproduction of seminal field experiments that generated complex analog dynamics of unclocked FPGAs evolved through genetic manipulation of their binary circuit representation: the bitstream. Further, it demonstrates the intrinsic evolution of two nontrivial analog circuits with intriguing properties, amplitude maximization and pulse oscillation, as well as the robustness of evolved circuits to temperature variation and across-chip circuit translation.
可进化硬件是一个研究领域，探索在设计、操作或两者过程中应用进化算法到硬件系统。这里介绍的工作主要是使用现场可编程门阵列（FPGA），一种动态可重新配置的硬件设备，通常用于电子原型设计，并结合一个新创建的开源平台来执行固有模拟可进化硬件实验。这项工作的目标是再现开创性的现场实验，这些实验产生了未计时的 FPGA 的复杂模拟动态，通过对其二进制电路表示（比特流）进行遗传操作来实现进化。此外，它还展示了两个具有有趣特性的非平凡模拟电路的固有进化，幅度最大化和脉冲振荡，以及进化电路对温度变化和跨芯片电路转换的鲁棒性。
