Balancing selection pressures, multiple objectives, and neural modularity to coevolve cooperative agent behavior.
Alex C. RollinsJacob SchrumPublished in: GECCO (Companion) (2017)
Keyphrases
- multiple objectives
- agent behavior
- cooperative
- multi objective
- multi agent
- multi agent systems
- neural network
- agent based simulation
- multi objective optimization
- human behavior
- autonomous agents
- knapsack problem
- pareto optimal
- multi objective genetic algorithm
- game theoretic
- game theory
- cutting stock problems
- agent architecture
- objective function
- reinforcement learning
- intelligent agents
- optimization algorithm
- particle swarm optimization
- evolutionary algorithm
- artificial intelligence
- machine learning