Bi-objective multi-mode resource-constrained multi-project scheduling using combined NSGA II and Q-learning algorithm.
Hongbing YangZiyang WangYue GaoWei ZhouPublished in: Appl. Soft Comput. (2024)
Keyphrases
- resource constrained
- bi objective
- project scheduling
- resource constraints
- nsga ii
- multi objective
- multi objective optimization
- routing problem
- resource constrained project scheduling problem
- test problems
- evolutionary algorithm
- pareto optimal solutions
- multiobjective optimization
- pareto optimal
- optimization problems
- efficient solutions
- multi objective evolutionary algorithms
- optimization algorithm
- optimal solution
- multiple objectives
- pareto frontier
- temporal constraints
- ant colony optimization
- genetic algorithm
- knapsack problem
- wireless sensor networks
- multi objective problems
- sensor networks
- shortest path problem
- objective function
- differential evolution
- multipath
- crossover operator
- vehicle routing problem
- fitness function
- special case
- solution quality
- neural network
- particle swarm optimization
- combinatorial optimization
- benchmark problems