Extended Abstract: Automated Transfer of Evolutionary Computation Successes to the Evolvable Hardware Domain for Information Superiority Applications

Abstract. Achieving information superiority often depends on design-ing, developing, and implementing effective and efficient approximation algorithms for NP-complete problems. Software-based Evolutionary Com-putation techniques have achieved considerable success in application to specific NP-complete problems, but the transfer of those results to hardware-based solutions has been slow. The Information Institute of the Air Force Research Laboratory is embarking on an effort to develop tools and techniques to facilitate implementation of algorithmic successes us-ing advanced computing architectures such as Field Programmable Gate Arrays (FPGAs), Field Programmable Transistor Arrays (FPTAs), and hybrids of those architectures with distributed, parallel, and cluster ar-chitectures. One of the top priorities of a modern military commander is “to achieve informa-tion superiority over an adversary by controlling the information environment... The aim of information superiority is to have greater situational awareness and control over the adversary. ” [1] Achieving greater situational awareness i