QMAEA: A quantum multi-agent evolutionary algorithm for multi-objective combinatorial optimization.
Fei TaoYuanjun LailiLin ZhangZ. H. ZhangAy C. NeePublished in: Simul. (2014)
Keyphrases
- combinatorial optimization
- evolutionary algorithm
- multi objective
- multi agent
- optimization problems
- simulated annealing
- quantum evolutionary algorithm
- metaheuristic
- optimization algorithm
- multi objective optimization
- evolutionary computation
- traveling salesman problem
- combinatorial optimization problems
- differential evolution
- particle swarm optimization
- branch and bound
- genetic algorithm
- fitness function
- mathematical programming
- benchmark problems
- multi objective optimization problems
- multiobjective optimization
- branch and bound algorithm
- multiple objectives
- genetic programming
- combinatorial problems
- nsga ii
- multi agent systems
- quantum computing
- hard combinatorial optimization problems
- genetic operators
- particle swarm
- exact algorithms
- mutation operator
- memetic algorithm
- test problems
- quadratic assignment problem
- solution quality
- tabu search
- reinforcement learning
- function optimization
- multi objective evolutionary algorithms
- neural network
- estimation of distribution algorithms
- job shop scheduling problem
- crossover operator
- objective function
- knapsack problem
- search algorithm
- ant colony optimization
- genetic algorithm ga