Instinct-driven dynamic hardware reconfiguration: evolutionary algorithm optimized compression for autonomous sensory agents.
Ahmed HallawaJaro De RooseMartin AndraudMarian VerhelstGerd AscheidPublished in: GECCO (Companion) (2017)
Keyphrases
- evolutionary algorithm
- cooperative
- dynamic environments
- multi agent systems
- intelligent agents
- multi agent
- multiagent systems
- low cost
- function optimization
- real time
- autonomous agents
- multi objective
- multiple agents
- highly dynamic
- dynamically evolving
- hardware and software
- autonomous systems
- data compression
- evolutionary computation
- agent architecture
- open environments
- evolvable hardware
- image compression
- agents and multi agent systems
- artificial agents
- compression ratio
- contract net protocol
- hardware implementation
- compression algorithm
- incomplete information
- computer systems
- crossover operator
- mutation operator
- trust model
- bdi agents
- differential evolution
- resource allocation
- multi agent learning
- fitness function
- information processing
- multiple autonomous
- image processing