Invited lectures

Parallel Multi-Objective Evolutionary Algorithms

Invited lecture by Talbi El-Ghazali at the BIOMA conference

Bled, 18 May 2016

The presented work describes a general overview of parallel multi-objective evolutionary algorithms (MOEA) from the design and the implementation point of views. A unified taxonomy using three hierarchical parallel models is proposed. Different parallel architectures are considered. The performance evaluation issue of parallel MOEA is also discussed.

Please download the presentation here and watch the lecture here.


A Survey of Model-based Methods for Global Optimization

Invited lecture by Thomas Bartz-Beielstein at the BIOMA conference

Bled, 18 May 2016

The presented work describes model-based methods for global optimization. After introducing the global optimization framework, modeling approaches for stochastic algorithms are presented. We differentiate between models that use a distribution and models that use an explicit surrogate model. Fundamental aspects of and recent advances in surrogate-model based optimization are discussed. Strategies for selecting and evaluating surrogates are presented. The article concludes with a description of key features of two state-of-the-art surrogate model based algorithms, namely the evolvability learning of surrogates (EvoLS) algorithm and the sequential parameter optimization (SPO).

Please download the presentation here and watch the lecture here.


A Unified View of Metaheuristics for Multi-Objective Optimization

Invited lecture by Talbi El-Ghazali at University of Primorska

Koper, 17 May 2016

The aim of the talk is to present a unified view of metaheuristic approaches for multi-objective optimization. Following three main issues dealing with fitness assignment, diversity preservation and elitism, a robust and flexible model is introduced. This model is validated by demonstrating how state-of-the-art methods can conveniently fit into it. Then, a modular implementation is proposed and is successfully integrated in a general purpose software framework dedicated to the reusable design of multi-objective metaheuristic optimization techniques such as evolutionary algorithms.

Please download the presentation here.

Industrial Applications of Model-based Simulation and Optimization

Invited lecture by Thomas Bartz-Beielstein, Jörg Stork, and Martin Zaefferer at JSI

Ljubljana, 17 May 2016

Industrial applications play a prominent role at the SPOTSeven Lab, which is located at the Department of Computer Science and Engineering Science at TH Köln (Cologne University of Applied Sciences). This talk addresses three topics:

  • Results from recent research projects
  • Modeling, simulation, and optimization techniques (theoretical background)
  • A case study

The case study illustrates, how simulation-optimization can be enhanced by integrating various modeling techniques. These techniques include analytical, surrogate, experimental approaches.

Please download the presentation here.

Coming events

  • Tutorial at CEC 2017
    05. 06. 2017

    Visualisation in Multiobjective Optimisation by Bogdan Filipic and Tea Tušar

  • Summer school
    27. 08. 2018 - 31. 08. 2018

    Slovenia