Introduction

RMOP, the Robust Multi-objective and Multidisciplinary Optimization Platform, is a user-friendly and easy-to-use optimization tool. Based on the Hybrid -games techniques developed by CIMNE researchers, it provides the best environment for solving optimization problems. Fully compatible with all type of solvers, RMOP provides an amazing optimization experience leading to optimal results.

Now we describe basic concepts of optimization.

Optimization Problem: cosists in finding the design variables values such that the objective functions values are optimum. By optimum we mean maximum or minimum. In RMOP we always pose the optimization problem as a minimization problem, so we always want to minimize the objective functions.

Individual: it is a given simulation case and it is fully characterized by a set of design variable values.

Design Variable: it is a value (real or integer) that modifies the behavior of the individual in terms of the objective function values.

Objective Function: it is a real valued function. Its value represents how good is an individual. In RMOP we always want to minimize the objective function, so an individual with a lower value of the objective function will be better.

RMOP is capable of dealing with an unlimited number of objective functions and design variables. The RMOP Graphical User Interface (RMOP GUI) let you define these two important parameters.