The Influence of Population and Memory Sizes on the Evolutionary Algorithm's Performance for Dynamic Environments.
Anabela SimõesErnesto CostaPublished in: EvoWorkshops (2009)
Keyphrases
- dynamic environments
- evolutionary algorithm
- mutation operator
- population diversity
- initial population
- multi objective
- evolutionary process
- evolution process
- evolutionary computation
- fitness landscape
- mobile robot
- autonomous agents
- differential evolution
- evolutionary strategy
- fitness sharing
- fitness function
- multi objective optimization
- changing environment
- genetic algorithm
- function optimization
- genetic programming
- genetic operators
- path planning
- population size
- memory requirements
- potential field
- agent systems
- collision avoidance
- single agent
- crossover operator
- agent based systems
- reinforcement learning agents
- unmanned aerial vehicles
- autonomous systems
- genetic algorithm ga
- particle swarm optimization
- cultural algorithms
- cooperative