Improving the performance of GPU-based genetic programming through exploitation of on-chip memory.
Darren M. ChittyPublished in: Soft Comput. (2016)
Keyphrases
- genetic programming
- limited memory
- fitness function
- symbolic regression
- high speed
- evolutionary computation
- evolutionary algorithm
- grammar guided genetic programming
- gene expression programming
- low cost
- memory subsystem
- genetic algorithm
- financial forecasting
- memory requirements
- computational power
- memory space
- memory usage
- computing power
- real time
- main memory
- vlsi implementation
- power consumption
- analog vlsi
- processor core
- virtual environment
- random access
- parallel processing
- graphics hardware
- times faster
- random access memory
- neural network