Gradient Based Stochastic Mutation Operators in Evolutionary Multi-objective Optimization.
Pradyumn Kumar ShuklaPublished in: ICANNGA (1) (2007)
Keyphrases
- evolutionary multi objective optimization
- mutation operator
- multi objective
- evolutionary algorithm
- genetic algorithm
- nsga ii
- differential evolution
- premature convergence
- crossover operator
- evolutionary programming
- genetic operators
- convergence rate
- multi objective optimization
- optimization algorithm
- crossover and mutation operators
- optimization problems
- crossover and mutation
- step size
- genetic programming
- evolutionary computation
- monte carlo
- fitness function
- particle swarm optimization
- stochastic model
- initial population
- genetic algorithm ga
- mathematical model