Solving bi-objective uncertain stochastic resource allocation problems by the CVaR-based risk measure and decomposition-based multi-objective evolutionary algorithms.
Juan LiBin XinPanos M. PardalosJie ChenPublished in: Ann. Oper. Res. (2021)
Keyphrases
- bi objective
- multi objective evolutionary algorithms
- resource allocation problems
- multi objective
- multi objective optimization
- efficient solutions
- resource allocation
- pareto optimal solutions
- nsga ii
- multiple objectives
- multi objective problems
- network design
- ant colony optimization
- shortest path problem
- multi criteria
- evolutionary algorithm
- test problems
- resource constraints
- optimization algorithm
- neural network
- knapsack problem
- genetic algorithm
- decision making
- pareto optimal
- fitness function
- robust optimization
- particle swarm optimization
- computational efficiency