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Results for “genetic algorithm”

Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.

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At least 415 records · Page 23

Experiments on the evolution of digital to analog converters

Currently, there is a research effort in Evolvable Hardware being driven towards two purposes: the synthesis of circuits of medium to high complexity; and the design of reconfigurable architectures that facilitate the system evolvability and on-chip implementation of the evolved circuits. This work addresses these issues by describing the evolution of Digital to Analog Converters (DACs).

DACs evolvable hardware hierarchical evolution gen↗

Polymorphic electronics

This paper introduces the concept of polymorphic electronics (polytronics)- referring to electronics with superimposed built-in functionality.

evolvable hardware genetic algorithms FPTA polytro↗

Mixtrinsic Evolution

This paper introduces a third approach to Evolvable Hardware (EHW) called mixtrinsic EHW (MEHW).

evolvable hardware reconfigurable hardware genetic↗

Designing Dielectric Grating Filters with PGAPACK

The chapter is concerned with the design of planar dielectric layer diffraction gratings, which exhibit sharp resonances due to the coupling of exterior evanescent diffractive fields to the leaky modes of dielectric waveguides.

genetic algorithms↗

Nanoelectronic Modeling at JPL

The NASA/JPL goal to reduce payload in future space missions while increasing mission capability demands miniaturization of measurement, analytical and communication systems.

Nanoelectronic Modeling RTD Genetic Algorithm NEMO↗

Evolutionary computing for the design search and optimization of space vehicle power subsystems

Evolutionary computing has proven to be a straightforward and robust approach for optimizing a wide range of difficult analysis and design problems. This paper discusses the application of these techniques to an existing space vehicle power subsystem resource and performance analysis simulation in a parallel processing environment.

evolutionary computing genetic algorithms optimiza↗