Nature is phenomenal. The achievements in, for example, evolution are everywhere to be
seen: complexity, resilience, inventive solutions and beauty. Evolvable Hardware (EH) is a …

Cartesian genetic programming, a well-established method of genetic programming, is
approximately 20 years old. It represents solutions to computational problems as graphs. Its …

The ability of the processes in Nature to achieve remarkable examples of complexity,
resilience, inventive solutions and beauty is phenomenal. This ability has promoted …

When applying evolutionary algorithms to circuit design automation, circuit representation is
the first consideration. There have been several studies applying different circuit …

This paper describes an approach of using a multi-objective fitness function to improve the
performance of digital circuits evolved using CGP. Circuits are initially evolved for correct …

From the outset, the field of Evolvable Hardware has proved its potential for evolution of
innovative circuits and hardware adaptation and repair. CGP has been utilized in both tasks …

This paper describes an approach to optimise transistor dimensions within a standard cell
library. The goal is to extract high-speed and low-power circuits which are more tolerant to …

Scalability is a main and urgent problem in evolvable hardware (EHW) field. For the design
of large circuits, an EHW method with a decomposition strategy is able to successfully find a …

Evolvable Hardware has been a discipline for over 15 years. Its application has ranged from
simple circuit design to antenna design. However, research in the field has often been …

The objective of the paper is to introduce a new approach to the evolutionary design of
polymorphic digital circuits conducted directly at transistor level. A discrete event-driven …