Enabling XCSF to cope with dynamic environments via an adaptive error threshold.
Tim HansmeierPaul KaufmannMarco PlatznerPublished in: GECCO Companion (2020)
Keyphrases
- dynamic environments
- path planning
- autonomous agents
- mobile robot
- adaptive threshold
- error rate
- changing environment
- autonomous navigation
- minimum error
- autonomous systems
- collision avoidance
- agent systems
- real time
- learning classifier systems
- plan execution
- error bounds
- highly dynamic environments
- potential field
- path planner
- single agent
- simultaneous localization and mapping
- real environment
- error analysis
- state space
- search algorithm