A Risk-aware Multi-objective Patrolling Route Optimization Method using Reinforcement Learning.
Haowen ChenYifan WuWeikun WangZengwei ZhengJianhua MaBinbin ZhouPublished in: ICPADS (2023)
Keyphrases
- optimization method
- multi objective
- optimization algorithm
- reinforcement learning
- evolutionary algorithm
- genetic algorithm
- multi agent
- differential evolution
- multi objective optimization
- particle swarm
- optimization methods
- optimization process
- global optimum
- particle swarm optimization
- simulated annealing
- risk management
- optimal policy
- state space
- evolutionary computation
- objective function
- function approximation
- multiple objectives
- nonlinear optimization
- conflicting objectives
- metaheuristic
- multi robot
- optimization procedure
- genetic programming
- nsga ii
- multi objective optimization problems
- optimization strategy
- model free
- pareto optimal solutions
- bi objective
- shortest path
- optimization problems
- learning algorithm
- particle swarm optimisation
- road network
- particle swarm optimization pso
- multi objective genetic algorithm
- fitness function
- quasi newton
- multi objective evolutionary algorithms
- nelder mead simplex
- single agent
- pareto optimal
- convergence speed
- bp neural network
- global optimization
- markov decision processes
- optimal solution
- decision making