In evolutionary multiobjective optimization, it is very important to be able to visualize
approximations of the Pareto front (called approximation sets) that are found by …

New challenges in engineering design lead to multiobjective (multicriteria) problems. In this
context, the Pareto front supplies a set of solutions where the designer (decision-maker) has …

The purpose of breeding programs is to obtain sustainable gains in multiple traits while
controlling the loss of genetic variation. The decisions at each breeding cycle involve …

This paper introduces the concept of Aggregation Trees for the visualization of the results of
high-dimensional multi-objective optimization problems, or many-objective problems and as …

In this paper, a multi-objective optimization approach is used for Pareto optimum design of
robust integer-order and fractional-order PID controllers for both integer-order and fractional …

This paper presents a framework for reliable, robust, and resilient system design, addressing
the need for acceptable performance not only to be provided under expected conditions, but …

In multiobjective optimization, many techniques are used to visualize the results, ranging
from traditional general-purpose data visualization techniques to approaches tailored to the …

One of the major challenges faced by the decision maker in the design of complex
engineering systems is information overload. When the size and dimensionality of the data …

The high dimensionality encountered in engineering design optimization due to large
numbers of performance criteria and specifications leads to cumbersome and sometimes …

A visualization-based methodology is developed in which a Hyperspace Pareto Frontier
(HPF) can be represented for design concept selection. The new approach is termed the …