An experimental analysis of a new two-stage crossover operator for multiobjective optimization.
Konstantinos LiagkourasKostas S. MetaxiotisPublished in: Soft Comput. (2017)
Keyphrases
- multiobjective optimization
- crossover operator
- nsga ii
- multi objective
- evolutionary algorithm
- multi objective optimization
- genetic algorithm
- mutation operator
- test problems
- multiobjective evolutionary algorithm
- fitness function
- optimization problems
- memetic algorithm
- optimization algorithm
- pareto optimal
- genetic operators
- min max
- differential evolution
- function optimization
- genetic algorithm ga
- optimal solution
- crossover and mutation operators
- image thresholding
- traveling salesman problem
- real coded genetic algorithms
- bi objective
- evolutionary computation
- multi objective evolutionary algorithms
- multiobjective evolutionary algorithms
- objective function
- swarm intelligence
- particle swarm optimization
- genetic programming
- knapsack problem
- constrained multi objective optimization problems
- multiple objectives
- multi objective optimization problems
- explore the search space
- artificial immune system
- simulated annealing
- dynamic programming
- branch and bound algorithm