Man pages for ingridas/EPICR
An Implementation of Efficient Pareto Iterative Classification Method
| best_parameters_cross | Performs cross validation and returns the best parameters... |
| check_improvement | This function checks if there is an improvement based on HV... |
| create_init_simplex | Generates a simplex from the evaluated decicion vectors and... |
| find_centroid | Finds the centroid of the simplex |
| generate_weights | Generates normalized weight vector of k dimensions and s... |
| is_feasible | Checks if a vector V is feasible in the decision space... |
| is_feasible_con | Checks if a vector V is feasible in the decision space... |
| iterate_EPIC_NM | Performs one iteration of EPIC algorithm |
| pareto_filter | Generates normalized weight vector of k dimensions and s... |
| run_epic_nm | This is a main function which iterates an EPIC algorithm... |
| selection_strategy | Selects a decision vector from a set representing the... |
| shrink_simplex | This function performs simplex shrink operation. It replaces... |
| Tcheby_values | Converts a multiobjective problem into a scalarized single... |
| transform_simplex | Updates the simplex with obtained new values and proceed with... |
| update_simplex | Updates the simplex used in a local search of EPIC algorithm |
| zdt1 | Set of multiobjective benchmark tests including ZDT test... |
