Session:

MSA - Military and Security Applications of Evolutionary Computation

Title:

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

Authors:

Laurence D. Merkle
Daniel J. Burns

Abstract:

Achieving information superiority often depends on designing, developing, and implementing effective and efficient approximation algorithms for NP-complete problems. Software-based Evolutionary Computation 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 using 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 architectures.