Bitwise operations for GPU implementation of genetic algorithms
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
Parallel multi-objective Ant Programming for classification using GPUs
Journal of Parallel and Distributed Computing
High performance evaluation of evolutionary-mined association rules on GPUs
The Journal of Supercomputing
A parallel Bees Algorithm implementation on GPU
Journal of Systems Architecture: the EUROMICRO Journal
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A top end graphics card (GPU) plus a suitable SIMD interpreter can deliver a several hundred fold speed up, yet cost less than the computer holding it. We give highlights of AI and computational intelligence applications in the new field of general purpose computing on graphics hardware (GPGPU). In particular, we surveyed genetic programming (GP) use with GPU. We gave several applications from Bioinformatics and showed that how the fastest GP is based on an interpreter rather than compilation. Finally using GP to generate GPU CUDA kernel C++ code is sketched.