Speedup vs. quality: Asynchronous and cluster-based distributed adaptive genetic algorithms for ordered problems.
Ryoma J. OhiraMd. Saiful IslamHumayun KayeshPublished in: Parallel Comput. (2021)
Keyphrases
- genetic algorithm
- neural network
- problems involving
- distributed environment
- distributed constraint satisfaction
- distributed constraint satisfaction problems
- higher quality
- hybrid algorithm
- orders of magnitude
- genetic programming
- artificial neural networks
- cooperative
- high quality
- peer to peer
- mobile agents
- evolutionary computation
- computational intelligence
- fault tolerant
- benchmark problems
- multi objective optimization
- multi agent
- case study