Advances in computers
Evolving hardware with genetic learning: a first step towards building a Darwin machine
Proceedings of the second international conference on From animals to animats 2 : simulation of adaptive behavior: simulation of adaptive behavior
Proceedings of the NATO advanced research workshop and EGS topical workshop on Chaotic advection, tracer dynamics and turbulent dispersion
Following the path of evolvable hardware
Communications of the ACM
Evolvable hardware chips for industrial applications
Communications of the ACM
Experiments on evolving software models of analog circuits
Communications of the ACM
The GRD Chip: Genetic Reconfiguration of DSPs for Neural Network Processing
IEEE Transactions on Computers
IEEE Spectrum
The genetic algorithm as a discovery engine: strange circuits and new principles
Creative evolutionary systems
Evolution of Parallel Cellular Machines: The Cellular Programming Approach
Evolution of Parallel Cellular Machines: The Cellular Programming Approach
Problem Solving with a Perpetual Evolutionary Learning Architecture
Applied Intelligence
Principles in the Evolutionary Design of Digital Circuits—Part I
Genetic Programming and Evolvable Machines
Adaptation and the Modular Design of Organisms
Proceedings of the Third European Conference on Advances in Artificial Life
Development and Evolution of Hardware Behaviors
Papers from an international workshop on Towards Evolvable Hardware, The Evolutionary Engineering Approach
Evolvable Systems in Hardware Design: Taxonomy, Survey and Applications
ICES '96 Proceedings of the First International Conference on Evolvable Systems: From Biology to Hardware
ICES '96 Proceedings of the First International Conference on Evolvable Systems: From Biology to Hardware
Two-Step Incremental Evolution of a Prosthetic Hand Controller Based on Digital Logic Gates
ICES '01 Proceedings of the 4th International Conference on Evolvable Systems: From Biology to Hardware
Evolvable Hardware and Its Applications to Pattern Recognition and Fault-Tolerant Systems
Papers from an international workshop on Towards Evolvable Hardware, The Evolutionary Engineering Approach
EH '99 Proceedings of the 1st NASA/DOD workshop on Evolvable Hardware
On the Filtering Properties of Evolved Gate Arrays
EH '99 Proceedings of the 1st NASA/DOD workshop on Evolvable Hardware
Prototyping a GA Pipeline for Complete Hardware Evolution
EH '99 Proceedings of the 1st NASA/DOD workshop on Evolvable Hardware
Bidirectional Incremental Evolution in Extrinsic Evolvable Hardware
EH '00 Proceedings of the 2nd NASA/DoD workshop on Evolvable Hardware
Towards Development in Evolvable Hardware
EH '02 Proceedings of the 2002 NASA/DoD Conference on Evolvable Hardware (EH'02)
Promises and challenges of evolvable hardware
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A phylogenetic, ontogenetic, and epigenetic view of bio-inspired hardware systems
IEEE Transactions on Evolutionary Computation
Real-world applications of analog and digital evolvable hardware
IEEE Transactions on Evolutionary Computation
Parameter optimization of an on-chip voltage reference circuitusing evolutionary programming
IEEE Transactions on Evolutionary Computation
Hi-index | 12.05 |
Unlike computer systems, organisms have high adaptability in dealing with environmental changes or noise. The ability to evolve, self-organizing dynamics, and a closed structure-function relationship are the three principle features embedded in biological structures that provide great malleability to environmental change. Computer systems have fast processing speed for performing heavy computational tasks. One of the objectives in this research is to capture these three biological features and implement them onto a digital circuit. The proposed hardware (called neuromolecular hardware), is the integration of inter- and intraneuronal information processing applied to the pattern recognition problem domain. This approach was tested on the Quartus II system, a simulation tool for digital circuits. The experimental result showed good self-organizing capability in selecting significant bits for differentiating patterns and insignificant bits for tolerating noise. The proposed digital circuit also exhibited a closed structure-function relationship. This implied that this hardware embraced an adaptive fitness landscape that facilitated processing spatiotemporal information.