Selection mechanisms based on the maximin fitness function to solve multi-objective optimization problems.
Adriana Menchaca-MendezCarlos A. Coello CoelloPublished in: Inf. Sci. (2016)
Keyphrases
- fitness function
- multi objective optimization problems
- evolutionary algorithm
- multi objective evolutionary algorithms
- multi objective
- nsga ii
- single objective optimization
- genetic programming
- genetic algorithm
- multi objective optimization
- crossover and mutation
- genetic algorithm ga
- fitness evaluation
- evolutionary computation
- genetic operators
- differential evolution
- evolutionary search
- optimization problems
- search space
- genetic algorithm is employed
- pareto optimal
- multiple objectives
- test problems
- optimization algorithm
- multiobjective optimization
- pareto optimal solutions
- crossover operator
- particle swarm optimisation
- mutation rate
- binary particle swarm optimization
- particle swarm optimization
- neural network