A multi-agent genetic algorithm for big optimization problems.
Yutong ZhangMingxing ZhouZhongzhou JiangJing LiuPublished in: CEC (2015)
Keyphrases
- optimization problems
- genetic algorithm
- multi agent
- evolutionary algorithm
- metaheuristic
- fitness function
- multi objective
- simulated annealing
- cooperative
- multi agent systems
- optimization methods
- genetic algorithm ga
- cost function
- nsga ii
- tabu search
- objective function
- reinforcement learning
- fuzzy logic
- genetic programming
- benchmark problems
- genetic operators
- ant colony optimization
- multiagent systems
- neural network
- knapsack problem
- crossover operator
- mutation operator
- combinatorial optimization
- optimization method
- differential evolution
- evolutionary computation
- test problems
- multiple agents
- data sets
- agent oriented
- traveling salesman problem
- artificial neural networks
- real time
- autonomous agents
- particle swarm optimization
- population size
- real coded
- cooperative agents