Improved Sampling of the Pareto-Front in Multiobjective Genetic Optimizations by Steady-State Evolution: A Pareto Converging Genetic Algorithm.
Rajeev KumarPeter I. RockettPublished in: Evol. Comput. (2002)
Keyphrases
- multi objective
- steady state
- genetic algorithm
- multi objective optimization
- evolutionary algorithm
- multiobjective optimization
- markov chain
- optimization algorithm
- nsga ii
- multiple objectives
- product form
- explicit expressions
- particle swarm optimization
- fitness function
- genetic regulatory networks
- operating conditions
- genetic operators
- pareto optimal solutions
- service times
- queue length
- bi objective
- neural network
- objective function
- simulated annealing
- queueing model
- arrival rate
- pareto optimal
- multi objective evolutionary algorithms
- state dependent
- importance sampling
- queueing networks
- steady states
- differential evolution
- state space