The role of crossover operator in evolutionary-based approach to the problem of genetic code optimization.
Pawel BlazejMalgorzata WnetrzakPawel MackiewiczPublished in: Biosyst. (2016)
Keyphrases
- crossover operator
- genetic algorithm
- crossover and mutation operators
- function optimization
- fitness function
- evolutionary algorithm
- fitness evaluation
- estimation of distribution algorithms
- evolutionary optimization
- uniform design
- mutation operator
- optimization method
- evolutionary computation
- optimization problems
- evolutionary strategy
- genetic operators
- constrained optimization problems
- real coded genetic algorithms
- genetic algorithm ga
- multi objective
- differential evolution
- evolutionary search
- genetic programming
- constrained optimization
- hybrid genetic algorithm
- genetic search
- traveling salesman problem
- constrained multi objective optimization problems
- simulated annealing
- population diversity
- evolution strategy
- optimization methods
- neural network
- global search
- global optimization
- ant colony optimization
- crossover and mutation
- harmony search
- explore the search space
- metaheuristic
- global convergence
- binary representation
- selection operator
- convergence speed
- particle swarm optimization pso
- combinatorial optimization