Genetic Programming III: Darwinian Invention & Problem Solving
Genetic Programming III: Darwinian Invention & Problem Solving
A Flexible Model of a CMOS Field Programmable Transistor Array Targeted for Hardware Evolution
ICES '00 Proceedings of the Third International Conference on Evolvable Systems: From Biology to Hardware
EH '99 Proceedings of the 1st NASA/DOD workshop on Evolvable Hardware
Toward Evolvable Hardware Chips: Experiments with a Programmable Transistor Array
MICRONEURO '99 Proceedings of the 7th International Conference on Microelectronics for Neural, Fuzzy and Bio-Inspired Systems
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
Explorations in design space: unconventional electronics designthrough artificial evolution
IEEE Transactions on Evolutionary Computation
Real-world applications of analog and digital evolvable hardware
IEEE Transactions on Evolutionary Computation
Initial Studies of a New VLSI Field Programmable Transistor Array
ICES '01 Proceedings of the 4th International Conference on Evolvable Systems: From Biology to Hardware
Indirect Online Evolution --- A Conceptual Framework for Adaptation in Industrial Robotic Systems
ICES '08 Proceedings of the 8th international conference on Evolvable Systems: From Biology to Hardware
Transistor-Level Evolution of Digital Circuits Using a Special Circuit Simulator
ICES '08 Proceedings of the 8th international conference on Evolvable Systems: From Biology to Hardware
The Input Pattern Order Problem: Evolution of Combinatorial and Sequential Circuits in Hardware
ICES '08 Proceedings of the 8th international conference on Evolvable Systems: From Biology to Hardware
Evolution in materio: investigating the stability of robot controllers evolved in liquid crystal
ICES'05 Proceedings of the 6th international conference on Evolvable Systems: from Biology to Hardware
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Evolvable hardware (EHW) refers to automated synthesis/optimization of HW (e.g. electronic circuits) using evolutionary algorithms. Extrinsic EHW refers to evolution using software (SW) simulations of HW models, while intrinsic EHW refers to evolution with HW in the loop, evaluating directly the behavior/response of HW. For several reasons (including mismatches between models and physical HW, limitations of the simulator and testing system, etc.) circuits evolved in SW may not perform the same way when implemented in HW, and vice-versa. This portability problem limits the applicability of SW evolved solutions, and on the other hand, prevents the analysis (in SW) of solutions evolved in HW. This paper introduces a third approach to EHW called mixtrinsic EHW (MEHW). In MEHW evolution takes place with hybrid populations in which some individuals are evaluated intrinsically and some extrinsically, within the same generation or in consecutive ones. A set of experiments using a Field Programmable Transistor Array (FPTA) architecture is presented to illustrate the portability problem, and to demonstrate the efficiency of mixtrinsic EHW in solving this problem.