| 2025 | EMO | On the Approximation of the Entire Pareto Front of a Constrained Multi-objective Optimization Problem. | Angel E. Rodriguez-Fernandez, Carlos Ignacio Hernndez Castellanos, Oliver Schtze |
| 2025 | GECCO | Finding the Set of Nearly Optimal Solutions of a Multi-objective Optimization Problem. | Oliver Schtze, Angel E. Rodriguez-Fernandez, Carlos Segura, Carlos Ignacio Hernndez Castellanos |
| 2025 | GECCO | Hot Off the Press: A Newton Method for Hausdorff Approximations of the Pareto Front within Multi-objective Evolutionary Algorithms. | Hao Wang, Angel E. Rodriguez-Fernandez, Lourdes Uribe, Andr H. Deutz, Oziel Corts-Pia, Oliver Schtze |
| 2025 | GECCO | Hot off the Press: Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization. | Angel E. Rodriguez-Fernandez, Lennart Schpermeier, Carlos Ignacio Hernndez Castellanos, Pascal Kerschke, Heike Trautmann, Oliver Schtze |
| 2024 | PPSN | Hypervolume Gradient Subspace Approximation. | Kenneth Zhang, Angel E. Rodriguez-Fernandez, Ke Shang, Hisao Ishibuchi, Oliver Schtze |
| 2022 | GECCO | A bounded archive based for bi-objective problems based on distance and e-dominance to avoid cyclic behavior. | Carlos Hernndez, Oliver Schtze |
| 2022 | GECCO | Archivers for single- and multi-objective evolutionary optimization algorithms. | Carlos Hernndez, Oliver Schtze |
| 2020 | GECCO | Using gradient-free local search within MOEAs for the treatment of constrained MOPs. | Lourdes Uribe, Adriana Lara, Kalyanmoy Deb, Oliver Schtze |
| 2019 | EMO | Variation Rate: An Alternative to Maintain Diversity in Decision Space for Multi-objective Evolutionary Algorithms. | Oliver Cuate, Oliver Schtze |
| 2019 | EMO | A New Hybrid Metaheuristic for Equality Constrained Bi-objective Optimization Problems. | Oliver Cuate, Lourdes Uribe, Antonin Ponsich, Adriana Lara, Fernanda Beltran, Alberto Rodrguez Snchez, Oliver Schtze |
| 2019 | EMO | Toward a New Family of Hybrid Evolutionary Algorithms. | Lourdes Uribe, Oliver Schtze, Adriana Lara |
| 2017 | EMO | An Approach for the Local Exploration of Discrete Many Objective Optimization Problems. | Oliver Cuate, Bilel Derbel, Arnaud Liefooghe, El-Ghazali Talbi, Oliver Schtze |
| 2015 | CEC | Solving the ambulance location problem in Tijuana-Mexico using a continuous location model. | Sergio Morales Pacheco, Oliver Schtze, Carlos Vera, Leonardo Trujillo, Yazmn Maldonado |
| 2015 | EMO | On the Behavior of Stochastic Local Search Within Parameter Dependent MOPs. | Vctor Adrin Sosa-Hernndez, Oliver Schtze, Heike Trautmann, Gnter Rudolph |
| 2015 | GECCO | A Local Search Approach to Genetic Programming for Binary Classification. | Emigdio Z.-Flores, Leonardo Trujillo, Oliver Schtze, Pierrick Legrand |
| 2014 | GECCO | Asymmetric quadratic landscape approximation model. | Alexandru-Adrian Tantar, Emilia Tantar, Oliver Schtze |
| 2013 | CEC | Evenly spaced Pareto fronts of quad-objective problems using PSA partitioning technique. | Christian Domnguez-Medina, Gnter Rudolph, Oliver Schtze, Heike Trautmann |
| 2013 | EMO | Evenly Spaced Pareto Front Approximations for Tricriteria Problems Based on Triangulation. | Gnter Rudolph, Heike Trautmann, Soumyadip Sengupta, Oliver Schtze |
| 2013 | GECCO | Directed search method for indicator-based multi-objective evolutionary algorithms. | Vctor Adrin Sosa-Hernndez, Oliver Schtze, Gnter Rudolph, Heike Trautmann |
| 2011 | GECCO | Integrated circuit optimization by means of evolutionary multi-objective optimization. | Matthias W. Blesken, Anouar Chebil, Ulrich Rckert, Xavier Esquivel, Oliver Schtze |
| 2010 | CEC | A painless gradient-assisted multi-objective memetic mechanism for solving continuous bi-objective optimization problems. | Adriana Lara Lopez, Carlos A. Coello Coello, Oliver Schtze |
| 2010 | CEC | Computing approximate solutions of scalar optimization problems and applications in space mission design. | Oliver Schtze, Adriana Lara, Carlos A. Coello Coello, Massimiliano Vasile |
| 2010 | GECCO | Using gradient information for multi-objective problems in the evolutionary context. | Adriana Lara, Carlos A. Coello Coello, Oliver Schtze |
| 2010 | GECCO | New challenges for memetic algorithms on continuous multi-objective problems. | Adriana Lara, Oliver Schtze, Carlos A. Coello Coello |
| 2010 | GECCO | Some comments on GD and IGD and relations to the Hausdorff distance. | Oliver Schtze, Xavier Esquivel, Adriana Lara, Carlos A. Coello Coello |
| 2009 | CEC | Using gradient-based information to deal with scalability in multi-objective evolutionary algorithms. | Adriana Lara, Carlos A. Coello Coello, Oliver Schtze |
| 2009 | GECCO | Evolutionary continuation methods for optimization problems. | Oliver Schtze, Adriana Lara, Carlos A. Coello Coello |
| 2008 | GECCO | Computing finite size representations of the set of approximate solutions of an MOP with stochastic search algorithms. | Oliver Schtze, Carlos A. Coello Coello, Emilia Tantar, El-Ghazali Talbi |
| 2008 | GECCO | A new memetic strategy for the numerical treatment of multi-objective optimization problems. | Oliver Schtze, Gustavo Sanchez, Carlos A. Coello Coello |
| 2008 | PPSN | Approximating the Knee of an MOP with Stochastic Search Algorithms. | Oliver Schtze, Marco Laumanns, Carlos A. Coello Coello |
| 2008 | PPSN | Approximate Solutions in Space Mission Design. | Oliver Schtze, Massimiliano Vasile, Carlos A. Coello Coello |
| 2007 | EMO | A Multi-objective Approach to the Design of Conducting Polymer Composites for Electromagnetic Shielding. | Oliver Schtze, Laetitia Jourdan, Thomas Legrand, El-Ghazali Talbi, Jean Luc Wojkiewicz |
| 2007 | GECCO | Convergence of stochastic search algorithms to gap-free pareto front approximations. | Oliver Schtze, Marco Laumanns, Emilia Tantar, Carlos A. Coello Coello, El-Ghazali Talbi |
| 2003 | EMO | A New Data Structure for the Nondominance Problem in Multi-objective Optimization. | Oliver Schtze |
| 2003 | EMO | Covering Pareto Sets by Multilevel Evolutionary Subdivision Techniques. | Oliver Schtze, Sanaz Mostaghim, Michael Dellnitz, Jrgen Teich |