Genetic algorithms as a computational tool for design
Genetic algorithms as a computational tool for design
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Proceedings of the European Conference on Genetic Programming
Promises and challenges of evolvable hardware
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
The second NASA/DoD workshop on evolvable hardware [Book Review]
IEEE Transactions on Evolutionary Computation
The third nasa/dod workshop on evolvable hardware [Book Reviews]
IEEE Transactions on Evolutionary Computation
On the Evolution of Hardware Circuits via Reconfigurable Architectures
ACM Transactions on Reconfigurable Technology and Systems (TRETS)
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Evolvable Hardware (EHW) Technology is useful to maintain existing functionality in the presence of faults and degradation due to aging, temperature and radiation. EHW refers to self-configuration of electronic hardware by evolutionary/genetic search mechanisms. EHW can bring key benefits to spacecraft survivability, adaptation to new mission requirements and mission reliability. Our approach is to implement intrinsic EHW design on FPGA. This paper discusses the development of evolutionary algorithm based on genetic algorithm in a Xilinx FPGA by hardware implementation of a Genetic Algorithm.