Efficient selection operators in NSGA-II for Solving Bi-Objective Multi-Skill Resource-Constrained Project Scheduling Problem.
Pawel B. MyszkowskiMaciej LaszczykJoanna LichodijPublished in: FedCSIS (2017)
Keyphrases
- bi objective
- resource constrained project scheduling problem
- nsga ii
- efficient solutions
- multi objective
- multi objective optimization
- pareto optimal solutions
- evolutionary algorithm
- multiobjective optimization
- test problems
- artificial bee colony
- pareto optimal
- optimization algorithm
- optimization problems
- resource constraints
- project scheduling
- multi objective evolutionary algorithms
- knapsack problem
- genetic algorithm
- optimal solution
- ant colony optimization
- multiple objectives
- harmony search
- pareto frontier
- crossover operator
- fitness function
- differential evolution
- shortest path problem
- network design
- mutation operator
- search space
- objective function
- ant colony algorithm
- neural network model
- particle swarm optimization