GAP/D: VLSI Hardware for Parallel and Adaptive Distributed Genetic Algorithms.
Kazutaka KobayashiNorihiko YoshidaShuji NarazakiPublished in: CSO (1) (2009)
Keyphrases
- genetic algorithm
- parallel hardware
- commodity hardware
- vlsi implementation
- parallel execution
- neural network
- distributed processing
- low cost
- massively parallel
- processor array
- multi objective
- peer to peer
- parallel genetic algorithms
- signal processing
- processing units
- real time
- parallel computation
- computer architecture
- parallel architectures
- master slave
- multi core processors
- parallel genetic algorithm
- load balance
- evolutionary algorithm
- vlsi architecture
- single chip
- high end
- multi agent
- chip design
- map reduce
- simulated annealing
- distributed systems
- high speed
- parallel computing
- distributed environment
- hardware and software
- parallel processing
- graphics processing units
- real time embedded
- tabu search
- heterogeneous systems
- shared memory
- vlsi design
- artificial neural networks
- cooperative
- load balancing
- computing systems
- computer systems
- computing power