Keyphrases
Many-objective Evolutionary Algorithm (MaOEA)
100%
Region-based
100%
Pareto Optimal Solution
100%
Non-dominated Sorting Genetic Algorithm (NSGA-II)
66%
Algorithm Framework
66%
Multi-target
66%
Preference Information
66%
SMS-EMOA
66%
Benchmark Problems
33%
Decision Maker
33%
Information-centric
33%
Pareto Front
33%
Process Optimization
33%
Hypervolume Indicator
33%
Well-distributed
33%
Preferred Region
33%
Continuous-discrete
33%
Ranking Criteria
33%
R2 Index
33%
Discrete Problem
33%
Fine-grained Resolution
33%
Chebyshev Distance
33%
Enhanced Algorithm
33%
Continuous Problems
33%
Region Information
33%
Crowding Distance
33%
Real Interests
33%
Rectangular Target
33%
Non-dominated Sorting
33%
Adequate Set
33%
Coordinate Spaces
33%
Coordinate Transformation
33%
Point Target
33%
Spherical Target
33%
Computer Science
multi-objective evolutionary algorithm
100%
Non-Dominated Sorting Genetic Algorithm II
66%
Pareto Optimal Solution
66%
Benchmark Problem
33%
Decision Maker
33%
Experimental Result
33%
Process Optimization
33%
Chebyshev Distance
33%
Pareto-optimality
33%
Coordinate Transformation
33%
Crowding Distance
33%
Space Coordinate
33%
Engineering
Target Region
100%
Pareto Optimal Solution
33%
Non-Dominated Sorting Genetic Algorithm II
22%
Multiple Target
22%
Target Point
22%
Benchmark Problem
11%
Decision Maker
11%
Experimental Result
11%
Pareto Front
11%
Point Target
11%
Coordinate Transformation
11%
Crowding Distance
11%