Multi-objective Pareto optimal solution search alg
2016-08-23
1 0 0
4.3
Other
Earn points
Multi-objective optimization refers to the constrained optimization of two or more goals, and that these goals are contradictory and cannot achieve optimal, in other words, a goal best tend to be at the expense of other goals at the expense of, so multiple optimal solutions for multiobjective optimization problems, you cannot compare the advantages and disadvantages between these solutions, collectively known as the Pareto optimal solutions. Quick non-dominated sorting genetic algorithm with elitist strategy (Nondominated Sorting Genetic Algorithm II,NSGA-II) is the more widely used of a multi-objective algorithm. This case MATLAB's improved NSGA-II for explanations, and examples of its application.
matlab
算法
搜索
目标
Pareto
Related Source Codes
GMSK Linear Receiver
0
0
no vote
NSGA-II algorithm
0
0
no vote
NSGA-III multi-objective optimization algorithm
0
0
no vote
Compressed sensing example
0
0
no vote
CFAR detector example
0
0
no vote
No comment