MOEA/D-ARA+SBX: A new multi-objective evolutionary algorithm based on decomposition with artificial raindrop algorithm and simulated binary crossover.
Qiaoyong JiangLei WangXinhong HeiGuolin YuYanYan LinXiaofeng LuPublished in: Knowl. Based Syst. (2016)
Keyphrases
- multi objective evolutionary algorithms
- computational complexity
- multi objective
- cost function
- dynamic programming
- objective function
- test problems
- benchmark problems
- convex hull
- ant colony optimization
- particle swarm optimization
- np hard
- evolutionary algorithm
- optimal solution
- simulated annealing
- linear programming
- worst case
- computationally efficient
- optimization algorithm
- scheduling problem
- knapsack problem
- min max
- artificial intelligence