MOMS-GA: A Multi-Objective Multi-State Genetic Algorithm for System Reliability Optimization Design Problems.
Heidi A. TaboadaJose F. EspirituDavid W. CoitPublished in: IEEE Trans. Reliab. (2008)
Keyphrases
- multi objective
- genetic algorithm
- optimization algorithm
- evolutionary algorithm
- multi objective optimization
- multiple objectives
- multiobjective optimization
- evolutionary optimization
- optimization method
- optimum design
- genetic algorithm ga
- conflicting objectives
- particle swarm optimization
- real coded
- optimization problems
- genetic algorithm is applied
- global search
- fitness function
- particle swarm
- differential evolution
- evolutionary computing
- evolution strategy
- immune genetic algorithm
- objective function
- pareto optimal
- parameter optimization
- estimation of distribution algorithms
- neural network
- hybrid ga
- genetic programming
- evolutionary strategy
- multi objective evolutionary algorithms
- genetic operators
- global optimization
- particle swarm optimization pso
- function optimization
- metaheuristic
- evolutionary computation
- multi objective optimization problems
- nsga ii
- multi population
- hybrid algorithm
- multi objective genetic algorithms
- crossover operator
- artificial neural networks
- constrained optimization
- partner selection