IEEE Intelligent Systems
Evolvable Hardware in Evolutionary Robotics
Autonomous Robots
A Comprehensive Overview of the Applications of Artificial Life
Artificial Life
Neuromolecularware --- A Bio-inspired Evolvable Hardware and Its Application to Medical Diagnosis
ARC '08 Proceedings of the 4th international workshop on Reconfigurable Computing: Architectures, Tools and Applications
Review: Neuromolecularware and its application to pattern recognition
Expert Systems with Applications: An International Journal
A hardware design of neuromolecular network with enhanced evolvability: a bioinspired approach
Journal of Electrical and Computer Engineering - Special issue on Networks-on-Chip: Architectures, Design Methodologies, and Case Studies
Evolvable hardware design based on a novel simulated annealing in an embedded system
Concurrency and Computation: Practice & Experience
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If natural evolution is so successful a designer, why not simulate its workings in an engineering setting, by using a computer to evolve solutions to hard problems. Researchers pursuing this idea in the 1950s and '60s gave birth to the domain of evolutionary computation. Four decades later, the domain is flourishing, both in industry and academia, presenting what may well be a new approach to optimization and problem-solving. Published in 1859, Charles Darwin's “On the Origin of Species by Means of Natural Selection” shook the foundations of not only science but also society at large. Now with new uses for the evolutionary model coming into being, researchers and scientists are beginning to create hardware that can grow and improve itself over time, evolving steadily as it finds new and better ways to do the tasks it has set before it