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
Special Purpose Image Convolution with Evolvable Hardware
Real-World Applications of Evolutionary Computing, EvoWorkshops 2000: EvoIASP, EvoSCONDI, EvoTel, EvoSTIM, EvoROB, and EvoFlight
Image Filter Design with Evolvable Hardware
Proceedings of the Applications of Evolutionary Computing on EvoWorkshops 2002: EvoCOP, EvoIASP, EvoSTIM/EvoPLAN
Comparison between Genetic Algorithms and Particle Swarm Optimization
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
Evaluation of a New Platform For Image Filter Evolution
AHS '07 Proceedings of the Second NASA/ESA Conference on Adaptive Hardware and Systems
An evolvable image filter: experimental evaluation of a complete hardware implementation in FPGA
ICES'05 Proceedings of the 6th international conference on Evolvable Systems: from Biology to Hardware
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This article describes an evolutionary image filter design for noise reduction using particle swarm optimization (PSO), where mixed constraints on the circuit complexity, power, and signal delay are optimized. First, the evaluated values of correctness, complexity, power, and signal delay are introduced to the fitness function. Then PSO autonomously synthesizes a filter. To verify the validity of our method, an image filter for noise reduction was synthesized. The performance of the resultant filter by PSO was similar to that of a genetic algorithm (GA), but the running time of PSO is 10% shorter than that of GA.