基于败者组与混合编码策略的NSGA-II改进算法 (Improved NSGA-II Algorithm Based on Loser Group and Hybrid Coding Strategy).
Xinping LiuChunhua GuFei LuoWeichao DingPublished in: 计算机科学 (2019)
Keyphrases
- nsga ii
- test problems
- multiobjective evolutionary algorithm
- multi objective
- optimization algorithm
- optimal solution
- multi objective optimization
- multi objective evolutionary algorithms
- evolutionary algorithm
- knapsack problem
- test functions
- multi objective optimization problems
- pareto optimal
- optimization problems
- uniform design
- multiobjective optimization
- constrained multi objective optimization problems
- particle swarm optimization
- benchmark problems
- cost function
- evolutionary multiobjective optimization
- scatter search
- pareto optimal set
- multi objective differential evolution
- objective function
- search space
- np hard
- multi objective problems
- genetic algorithm
- evolutionary multiobjective
- strength pareto evolutionary algorithm
- dynamic programming
- linear programming
- multi objective genetic algorithm
- computationally efficient
- pareto optimal solutions
- bi objective
- solution quality
- shortest path problem
- tabu search
- fitness function
- evolutionary computation