A quantum-inspired artificial immune system for the multiobjective 0-1 knapsack problem.
Jiaquan GaoGuixia HeRonghua LiangZhilin FengPublished in: Appl. Math. Comput. (2014)
Keyphrases
- knapsack problem
- artificial immune system
- quantum inspired
- multiobjective optimization
- multi objective
- genetic algorithm
- binary gravitational search algorithm
- mutation operator
- nsga ii
- evolutionary algorithm
- optimization problems
- combinatorial optimization problems
- test problems
- quantum computing
- computational intelligence
- evolutionary programming
- optimal solution
- dynamic programming
- clonal selection algorithm
- immune clonal
- multi objective optimization
- multiple objectives
- multidimensional knapsack problem
- particle swarm optimization
- np hard
- swarm intelligence
- job shop scheduling problem
- optimization algorithm
- objective function
- evolutionary strategy
- greedy algorithm
- evolutionary computation
- crossover operator
- ant colony optimization
- fuzzy systems
- neural network
- input output
- fitness function
- simulated annealing
- vehicle routing problem
- premature convergence
- differential evolution
- cost function
- decision making
- machine learning