The Nelder-Mead simplex algorithm with perturbed centroid for high-dimensional function optimization.
Iztok FajfarÁrpád BürmenJanez PuhanPublished in: Optim. Lett. (2019)
Keyphrases
- simplex algorithm
- function optimization
- nelder mead
- high dimensional
- evolutionary algorithm
- linear programming
- primal dual
- linear program
- ant colony optimization
- linear programming problems
- genetic algorithm
- bayesian learning
- randomly generated
- mutation operator
- simplex method
- data points
- feature space
- crossover operator
- feasible solution
- learning problems
- optimization problems
- multi objective
- special case
- fitness function
- optimal solution