A Comparison of Different Many-Objective Optimization Algorithms for Energy System Optimization.
Tobias RodemannPublished in: EvoApplications (2019)
Keyphrases
- optimization problems
- optimization methods
- discrete optimization
- learning algorithm
- optimization algorithm
- combinatorial optimization
- data structure
- computational cost
- theoretical analysis
- constraint satisfaction problems
- machine learning algorithms
- multiple objectives
- stochastic search
- data sets
- global convergence
- optimization procedure
- benchmark problems
- global optimization
- computational efficiency
- data mining algorithms
- benchmark datasets
- computational complexity