Readme typo

Author: otvam

README.md

@@ -1,14 +1,14 @@
-# MATLAB tool for multi-objective optimization (genetic or brute-force)
+# MATLAB tool for multi-objective optimization
 
 This **MATLAB** tool offers different functionalities for multi-objective optimization:
 * Offer a **common interface** for different solvers
     * **Brute force** grid search (exhaustive search)
-    * MATLAB **single-objective genetic** algoritm ('ga')
-    * MATLAB **multi-objective genetic** algoritm ('gamultiobj')
+    * MATLAB **single-objective genetic** algorithm ('ga')
+    * MATLAB **multi-objective genetic** algorithm itm ('gamultiobj')
 * Offer an **abstraction layer** to the MATLAB solver
     * Scaling the input variables
     * Generating and filtering initial points
-    * Transforming high-level datastructures ('struct') to low-level ('matrix')
+    * Transforming high-level data structures ('struct') to low-level ('matrix')
     * Generating the low-level inputs required by the solvers
 * Allow **vectorized and parallel** evaluation of the functions
     * Divide the number of points to be evaluated into chunks

get_data.m

@@ -15,8 +15,8 @@
 %
 %   Use the followig strategies:
 %      - brute force grid search (mixed integer)
-%      - single-objective genetic algoritm (mixed integer)
-%      - multi-objective genetic algoritm (continuous variables)
+%      - single-objective genetic algorithm (mixed integer)
+%      - multi-objective genetic algorithm (continuous variables)
 %
 %   The problem solved in this example is trivial and not very interesting.
 %

src/optim/get_solution.m

@@ -4,8 +4,8 @@
 %   solver_param.solver_param - struct with the solver data (struct)
 %      solver_name - name of the solver (string)
 %         'bruteforce' - test all the initial points, nothing more
-%         'ga' - MATLAB genetic algoritm 'ga'
-%         'gamultiobj' - MATLAB genetic algoritm 'gamultiobj'
+%         'ga' - MATLAB genetic algorithm 'ga'
+%         'gamultiobj' - MATLAB genetic algorithm 'gamultiobj'
 %      solver_param.n_split - maximum number of solution evaluated in one vectorized call (integer)
 %      solver_param.options - options for the solver (GaOptions or GamultiobjOptions or struct)
 %      fct_obj - compute the objective value from the input (function handle)