The purpose of this paper is mofold: first, to illustrate a stand-alone board-level evolvable system (SABLES) and its performunee, and second to illustrate some problems that occur during evolution with real hardware in the loop, or when the intention of the user is not completely reflected in the fitness function. SABLES is part of an effort to achieve integrated evolvable systems. SABLES prov...

The relatively new field of Evolvable Hardware studies how simulated evolution can reconfigure, adapt, and design hardware structures in an automated manner. Space applications, especially those requiring autonomy, are potential beneficiaries of evolvable hardware. For example, robotic drilling from a mobile platform requires high-bandwidth controller circuits that are difficult to design. In t...

A sustainable Evolvable Hardware (EH) system is developed for SRAM-based reconfigurable Field Programmable Gate Arrays (FPGAs) using outlier detection and group testing-based assessment principles. The fault diagnosis methods presented herein leverage throughput-driven, relative fitness assessment to maintain resource viability autonomously. Group testing-based techniques are developed for adap...

This paper describes a new evolvable hardware organization and its learning algorithm to generate binary logic artificial neural networks based on mutual information and statistical analysis. First, thresholds to convert analog signals of the training data to digital signals are established. In order to extract feature function for multidimensional data classification, conditional entropy is ca...

AbstructOuter solar system exploration and missions to comets and planets with severe environmental conditions require long-term survivability of space systems. This challenge has recently been approached with new ideas, such as using mechanisms for hardware adaptation inspired from biology. The application f evolution-inspired formalisms to hardware design and self-configuration lead to the ...

The use of GAs in evolvable hardware is reviewed. A case is made for implementing as much of the GA in hardware as possible. The technical difficulties of using a standard GA with an FPGA are described. A new type of GA called a Ringed GA, which features only local interactions among individuals, is introduced. A new type of reconfigurable platform called the PIG is described. The use of the PI...

A biologically inspired developmental model targeted at hardware implementation (off-shelf FPGA) is proposed which exhibits extremely robust transient fault-tolerant capability. All cells in this model have identical genotype (physical structures), and only differ in internal states. In a 3x3 cell digital organism, some individuals which implement a 2-bit multiplier were discovered using evolut...

Evolvable Hardware (EHW) has the potential to become a new target hardware for complex real-world applications. However, there are several problems that would have to be solved to make it widely applicable. This includes the difficulties in evolving large systems and the lack of generalization of gate level EHW. This paper proposes new methods targeting these problems, where a system is evolved...

Abstract. This paper investigates the application of function-level Evolvable Hardware (EHW) to the adaptive equalization of digital communication channel. EHW is hardware that is built on programmable logic devices such as eld programmable gate arrays. Its architecture can be recon gured by using genetic learning to adapt to new, unknown environments in real time. We propose an EHW-based adapt...

An application of an evolutionary approach to hardware design is presented. A genetic algorithm was developed to discover good designs for quantum computer algorithms. The algorithms are expressed as quantum operator sequences applied in a circuit model. The circuits discovered are configurations of special purpose quantum computers. By simulation, establishes they will compute correctly, a sma...