MO-MAHM: A parallel Multi-agent Architecture for Hybridization of Metaheuristics for multi-objective problems.
Igor Rosberg de Medeiros SilvaElizabeth Ferreira Gouvea GoldbargEmerson B. de CarvalhoMarco César GoldbargPublished in: CEC (2017)
Keyphrases
- multi objective problems
- multi agent architecture
- multi objective
- particle swarm optimization
- differential evolution
- multiple objectives
- multi objective optimization
- hybrid algorithm
- evolutionary algorithm
- genetic algorithm
- nsga ii
- multi agent systems
- optimization algorithm
- multiobjective optimization
- multi objective evolutionary algorithms
- particle swarm optimization algorithm
- convergence speed
- software agents
- optimization problems
- optimization method
- pso algorithm
- multi agent
- particle swarm optimization pso
- test problems
- swarm intelligence
- simulated annealing
- objective function
- ant colony optimization
- tabu search
- metaheuristic
- decision makers
- particle swarm optimisation
- neural network
- premature convergence
- optimal solution
- combinatorial optimization
- mutation operator
- bi objective
- multi criteria
- particle swarm optimizer
- dynamic programming