23 Wednesday (19)

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

8:30 am - 9:00 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…
Speaker:
Jian-Qiao Sun
10:00 am - 10:15 am

Coffee break

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…
Speaker:
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 different 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.…
Speaker:
11:20 am - 11:30 am

Coffee break

11:30 am - 11:50 am

Archivers for the Set of Approximate Solutions on Multi-objective Optimization

Track Set Oriented Numerics In a variety of applications in industry and finance one is faced with the problem that several objectives have to be optimized concurrently leading to a multi-objective optimization problem(MOP). A common goal for such problems is to identify the set of optimal solutions (the so-called Pareto…
Speaker:
Carlos Hernandez
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…
Speaker:
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…
Speaker:
Benjamin Perea
12:30 am - 12:50 pm

Pareto Explorer for the Local Exploration of Many Objective Optimization Problems

Track Set Oriented Numerics Generally, the multiobjective optimization problem involves finding a set with the best solutions among mathematically incomparable compromises, i.e., vectors whose image can not be improved by other vectors in all its components, but it could be improved in at least one of them. However, there are…
Speaker:
Oliver Cuate
12:50 pm - 2:20 pm

Lunch

2:20 pm - 3:20 pm

Featured Talk

Big Data science in medicine and biomedical research
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.…
Speaker:
Edgar Dominguez