Improving Survivability in Environment-driven Distributed Evolutionary Algorithms through Explicit Relative Fitness and Fitness Proportionate Communication.
Emma HartAndreas SteyvenBen PaechterPublished in: GECCO (2015)
Keyphrases
- evolutionary algorithm
- fitness function
- distributed control
- multi objective
- evolutionary computation
- genetic programming
- population diversity
- optimization problems
- multi objective optimization
- evolutionary process
- differential evolution
- genetic algorithm
- evolution process
- simulated annealing
- fitness landscape
- communication networks
- differential evolution algorithm
- communication overhead
- communication cost
- computer networks
- computing environments
- evolution strategy
- genetic operators
- multi agent
- distributed systems
- mobile robot
- distributed environment
- particle swarm optimization
- distributed computation
- evolutionary search
- local area network
- open systems
- remote sites
- autonomous agents
- spatially distributed
- exchange information
- fully distributed
- distributed network
- evolutionary strategy
- real time