23 Wednesday (19)

08:30 am - 09:00 am Registration and Welcome

9:00 am - 10:00 am

Featured Talk

Multi-Objective Optimal Design of Nonlinear Controls The most important part of the control design for nonlinear dynamic systems is to guarantee the stability. Then, the control is quantitatively designed to meet multiple and often conflicting performance objectives. The performance of the closed-loop system is a function of various system and…
Jian-Qiao Sun
10:15 am - 11:00 am

Featured Talk

On Steering Dominated Points in Hypervolume Gradient Ascent for Bicriteria¬†Continuous Optimization Here we consider multiobjective optimization problem \(f_1(x)\rightarrow min,...,f_m(x)\rightarrow min,x\in \mathbb{R}^d\). We will later focus on the bicriteria case \(m=2\), though some methods that will be discussed are more general. In previous work ([1], [2], and [3]) the hypervolume…
Andre Deutz
11:00 am - 11:20 am

Hypervolume Newton method as a Local Searcher for Indicator based Evolutionary Algorithm

Track Set Oriented Numerics Nowadays, the importance of solving multi-objective optimization problems (MOPs) becomes crucial for different application areas such as chemistry, design, manufacture, medicine, among others. However, the task of solving this kind of problems is not straightforward, since several objectives have to be optimized at the same time.…
Adrian Sosa
11:50 am - 12:10 pm

The Gradient Subspace Approximation for Scalar Optimization

Track Set Oriented Numerics Nowadays, the evolutionary algorithms have been widely used in order to approximate the solutions for optimization problems. The so-called memetic algorithms, hybridize evolutionary algorithms along with mathematical programing techniques in order to improve the convergence rate of the algorithm. However, a drawback of these methods is…
Sergio Alvarado
12:10 am - 12:30 pm

Parameter free Optimization algorithm for Garch models

Track Set Oriented Numerics In finance, GARCH models are widely used, for example to identify trend, risk and variation in the markets. Nevertless, the choice of the optimal parameters is a hard task. Because of this, in most of cases methods fail and solutions are not good enough.The optimization algorithm…
Benjamin Perea
12:50 pm - 2:20 pm
3:35 pm - 4:00 pm

Detecting falls using a wireless sensor network

Track Health & Biomedicine INTRODUCTION The aging of the world population has lead to new health problems. People now live longer, but unfortunately the quality of life of the elderly is deplorable in many cases. The number of old people affected by brain disorders have increased significantly in recent years.…
Edgar Dominguez
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