Constraint Handling in NSGA-II for Solving Optimal Testing Resource Allocation Problems.
Guofu ZhangZhaopin SuMiqing LiFeng YueJianguo JiangXin YaoPublished in: IEEE Trans. Reliab. (2017)
Keyphrases
- nsga ii
- constraint handling
- resource allocation problems
- pareto optimal
- multi objective
- constrained optimization problems
- differential evolution
- evolutionary algorithm
- optimal design
- multi objective optimization
- evolutionary optimization
- particle swarm optimization
- optimal solution
- optimization problems
- multi objective genetic algorithm
- multiobjective optimization
- test problems
- test functions
- constrained optimization
- resource allocation
- optimization algorithm
- multiobjective evolutionary algorithm
- evolutionary multiobjective optimization
- bi objective
- evolutionary multiobjective
- crossover operator
- multi objective evolutionary algorithms
- genetic algorithm
- evolution strategy
- penalty function
- evolutionary strategy
- pareto optimal solutions
- fitness function
- swarm intelligence
- particle swarm optimization pso
- combinatorial optimization
- genetic programming
- dynamic programming
- neural network
- objective function
- evolutionary computation
- combinatorial optimization problems