A Simplex Crossover based evolutionary algorithm including the genetic diversity as objective.
Claudio Comis Da RoncoErnesto BeniniPublished in: Appl. Soft Comput. (2013)
Keyphrases
- evolutionary algorithm
- genetic algorithm
- population diversity
- multi objective
- multi objective evolutionary algorithms
- differential evolution
- evolutionary computation
- optimization problems
- mutation operator
- crossover operator
- genetic programming
- pareto optimal solutions
- island model
- multi objective optimization
- fitness function
- simulated annealing
- premature convergence
- evolutionary process
- fitness landscape
- genetic operators
- crossover and mutation operators
- function optimization
- evolution process
- evolution strategy
- particle swarm optimization
- cauchy mutation
- multiple objectives
- differential evolution algorithm
- mutation operation
- mutation rate
- particle swarm
- simplex algorithm
- genetic search
- initial population
- evolutionary search
- convergence speed
- nsga ii
- estimation of distribution algorithms
- simplex method
- genetic algorithm ga
- crossover and mutation
- hybrid algorithm
- linear programming
- neural network