Funded Projects

• PI of the Frontiers of Science project CBF-2023-2024-1463 "Towards a New Class of Evolutionary Algorithms for the Fast and Reliable Treatment of Complex Multi-objective Optimization Problems"
  Period: June 2024 -- December 2026.
  
  
• PI of the SEP-Cinvestav project no. 231 "Algoritmos Evolutivos Hibridos para Problemas de Optimizacion Multiobjetivo con Restricciones"
  Period: January 2019 -- December 2020.

• PI of the  Ciencia Básica SEP-CONACYT 2016, group project no. 285599 "Toma de decisiones multiobjetivo para sistemas altamente complejos".
  Period: January 2018 -- December 2020.

• ECOS NORD-Conacyt project "Evolutionary Many Objective Optimization: Application to Smart Cities and Engineering Design" (bilateral project with INRIA Lille Nord-Europe, Lille, France).
  Co-PIs: Dr. Oliver Schuetze and  Dr. El-Ghazali Talbi, INRIA Lille Nord-Europe, Lille, France.
  Period: January 2016 - December 2018.

• UK-Researcher Links (British Council) Project 216435254 "Numerical and Evolutionary Algorithms for Smart Cities" for the realization of a workshop in September 2016 in Tlalnepantla, Mexico.
  Co-PIs: Dr. Oliver Schuetze and Dr. Massimiliano Vasile, University of Strathclyde, Scotland.
  Period: September 2016.

• PI of the Prodecyt-DADC project 263101 "NEO -- Workshop on Numerical and Evolutionary Optimization" for partical funding of the workshop NEO 2015.
  Period: September 2015.

• UC MEXUS-CONACYT Project "Hybridizing Set Oriented Methods and Evolutionary Strategies to Obtain Fast and Reliable Multi-objective Optimization Algorithms" (bilateral project between researchers from the USA and Mexico).
  Co-PIs: Dr. Oliver Schuetze and Dr. Jian-Qiao Sun, University of California, Merced, USA.
  Period: July 2015 - December 2016.

• DAAD Project 207493 "Memetic Strategies for Indicator Based Multi-objective Evolutionary Algorithms" (bilateral project between researchers from Germany and Mexico).
  Co-PIs: Dr. Oliver Schuetze and Dr. Heike Trautmann, University of Münster, Germany.
  Period: January 2014 - December 2015.

• UC MEXUS-CONACYT Project "Cell-to-Cell Mapping for Global Multi-objective Optimiation Problems" (bilateral project between researchers from the USA and Mexico).
  Co-PIs: Dr. Oliver Schuetze and Dr. Jian-Qiao Sun, University of California, Merced, USA.
  Period: July 2012 - December 2013.

• DFG-CONACYT project 174443 "Multi-Objective Optimization Based on Averaged Hausdorff Distance" (bilateral project between researchers from Germany
  Co-PIs: Dr. Oliver Schuetze and  Dr. Heike Trautmann, TU Dortmund University, Germany.
  Period: July 2011 - December 2012.

• Multilateral project NH-MCDM-295192 of the Marie Curie  International Research Staff Exchange Scheme (FP7-PEOPLE-2011-IRSES). "New Horizons for Multi Criteria Decision Making".
  Period: January 2012 - December 2014.

• PROALMEX project B330/129/11 (bilateral project between researchers from Germany and Mexico). "Multiobjective Control Based on Averaged Hausdorff Distance".
  Co-PIs: Dr. Oliver Schuetze and  Dr. Günter Rudolph, TU Dortmund University, Dortmund, Germany.
  Period: January 2011 -- December 2011

• PI of CONACYT project number 128554 of the Ciencia Básica SEP-CONACYT 2009. "Design and Analysis of Fast and Reliable Evolutionary Strategies for the Numerical Treatment of Multi-Objective Optimization Problems"
  Period: January 2011 -- December 2013

• Study "AO4532-05/4106" of the European Space Research and Technology Centre (ESTEC) "Spiral Trajectories in Global Optimisation of Interplanetary and Orbital Transfers"
  Co-PIs:  M. Dellnitz, O. Junge, G. Radice, O. Schütze, and M. Vasile.
  Period: February 2006 -- June 2006

Optimization I

Download the file here.

Classes

• Optimization I

Pareto Tracer

The Pareto Tracer is a predictor-corrector method for multi-objective optimization problems.

A Matlab implementation of the Pareto tracer can be found in the following link:

https://github.com/adanay/ParetoTracer

The method is of free use for all research purposes. All publications which use this package or any code in the package should acknowledge the use of "Pareto Tracer" and reference the following work:

"Pareto Tracer: A predictor–corrector method for multi-objective optimization problems. Adanay Martín and Oliver Schütze. Engineering Optimization Vol. 50, Iss. 3, 2018"