Hybridization of Evolutionary Algorithm and Deep Reinforcement Learning for Multiobjective Orienteering Optimization.
Wei LiuRui WangTao ZhangKaiwen LiWenhua LiHisao IshibuchiXiangke LiaoPublished in: IEEE Trans. Evol. Comput. (2023)
Keyphrases
- evolutionary algorithm
- multi objective
- optimization problems
- optimization algorithm
- reinforcement learning
- optimization method
- evolution strategy
- multiple objectives
- multi objective optimization
- multiobjective optimization
- function optimization
- evolutionary computation
- conflicting objectives
- differential evolution
- optimum design
- evolutionary strategy
- simulated annealing
- particle swarm
- uniform design
- fitness function
- nsga ii
- multiobjective evolutionary algorithms
- genetic algorithm
- particle swarm optimization
- genetic programming
- multi objective evolutionary algorithms
- evolutionary search
- evolutionary multiobjective
- optimization methods
- hybrid evolutionary algorithm
- bi objective
- evolutionary process
- pareto optimal solutions
- metaheuristic
- genetic operators
- state space
- function approximation
- learning algorithm
- objective function
- single objective optimization
- multi agent
- multi objective optimization problems
- markov decision processes
- combinatorial optimization
- reinforcement learning algorithms
- mutation operator
- artificial bee colony
- trade off
- traveling salesman problem
- multi objective problems
- hybrid algorithm
- crossover operator
- test problems
- machine learning