An evolution strategy with probabilistic mutation for multi-objective optimisation.
Simon HubandPhilip HingstonLyndon WhileLuigi BaronePublished in: IEEE Congress on Evolutionary Computation (2003)
Keyphrases
- evolution strategy
- evolutionary algorithm
- multi objective optimisation
- multi objective
- differential evolution
- nsga ii
- multi objective optimization
- evolutionary programming
- genetic algorithm
- cma es
- genetic operators
- fitness function
- particle swarm optimization
- mutation operator
- optimization algorithm
- evolutionary computation
- candidate solutions
- optimization problems
- optimization method
- genetic programming
- simulated annealing
- multiobjective optimization
- probabilistic model
- generative model
- multiple objectives
- crossover operator
- convergence speed
- pareto optimal
- particle swarm optimization algorithm
- uncertain data
- evolutionary process
- bayesian networks
- neural network
- genetic algorithm ga
- particle swarm optimization pso