A Differential Mutation operator for the archive population of multi-objective evolutionary algorithms.
Lucas S. BatistaFrederico G. GuimarãesJaime A. RamírezPublished in: IEEE Congress on Evolutionary Computation (2009)
Keyphrases
- mutation operator
- multi objective evolutionary algorithms
- nsga ii
- differential evolution
- multi objective
- evolutionary algorithm
- multi objective optimization
- fitness function
- premature convergence
- test problems
- crossover operator
- optimization algorithm
- genetic algorithm
- optimization problems
- multiobjective optimization
- pareto optimal
- genetic operators
- evolutionary programming
- initial population
- particle swarm optimization
- evolutionary computation
- population diversity
- optimal solution
- crossover and mutation
- pareto optimal solutions
- knapsack problem
- multi criteria
- pareto optimal set
- convergence speed
- particle swarm
- bi objective
- particle swarm optimization pso
- evolution strategy
- multiple objectives
- genetic algorithm ga
- objective function
- decision making
- neural network
- convergence rate
- genetic programming
- hybrid algorithm
- global optimization
- tabu search