Oliver Schütze

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 35

Top Topics

Hybrid Evolutionary Algorithms

Optimization Problems

Genetic Programming

Hausdorff Distance

Top Venues

Swarm Evol. Comput.

Publications

Hao Wang, Angel E. Rodriguez-Fernandez, Lourdes Uribe, André H. Deutz, Oziel Cortés-Piña, Oliver Schütze
A Newton Method for Hausdorff Approximations of the Pareto Front within Multi-objective Evolutionary Algorithms. CoRR (2024)
Carlos Segura, Joel Chacón Castillo, Oliver Schütze
The Importance of Diversity in the Variable Space in the Design of Multi-Objective Evolutionary Algorithms. Appl. Soft Comput. 136 (2023)
Carlos Hernández, Oliver Schütze
Archivers for single- and multi-objective evolutionary optimization algorithms. GECCO Companion (2022)
Cristian Sandoval, Oliver Cuate, Luis C. González, Leonardo Trujillo, Oliver Schütze
Towards fast approximations for the hypervolume indicator for multi-objective optimization problems by Genetic Programming. Appl. Soft Comput. 125 (2022)
Carlos Hernández, Oliver Schütze
A bounded archive based for bi-objective problems based on distance and e-dominance to avoid cyclic behavior. GECCO (2022)
Lourdes Uribe, Adriana Lara, Kalyanmoy Deb, Oliver Schütze
A new gradient free local search mechanism for constrained multi-objective optimization problems. Swarm Evol. Comput. 67 (2021)
Lourdes Uribe, Adriana Lara, Kalyanmoy Deb, Oliver Schütze
Using gradient-free local search within MOEAs for the treatment of constrained MOPs. GECCO Companion (2020)
Oliver Cuate, Oliver Schütze
Pareto Explorer for Solving Real World Applications. Res. Comput. Sci. 149 (3) (2020)
Víctor Adrián Sosa-Hernández, Oliver Schütze, Hao Wang, André H. Deutz, Michael Emmerich
The Set-Based Hypervolume Newton Method for Bi-Objective Optimization. IEEE Trans. Cybern. 50 (5) (2020)
Lourdes Uribe, Adriana Lara, Oliver Schütze
On the efficient computation and use of multi-objective descent directions within constrained MOEAs. Swarm Evol. Comput. 52 (2020)
Octavio Ramos-Figueroa, Marcela Quiroz-Castellanos, Efrén Mezura-Montes, Oliver Schütze
Metaheuristics to solve grouping problems: A review and a case study. Swarm Evol. Comput. 53 (2020)
Oliver Cuate, Lourdes Uribe, Adriana Lara, Oliver Schütze
A benchmark for equality constrained multi-objective optimization. Swarm Evol. Comput. 52 (2020)
David Laredo, Zhaoyin Chen, Oliver Schütze, Jian-Qiao Sun
A Neural Network-Evolutionary Computational Framework for Remaining Useful Life Estimation of Mechanical Systems. CoRR (2019)
Oliver Cuate, Lourdes Uribe, Antonin Ponsich, Adriana Lara, Fernanda Beltran, Alberto Rodríguez Sánchez, Oliver Schütze
A New Hybrid Metaheuristic for Equality Constrained Bi-objective Optimization Problems. EMO (2019)
David Laredo, Zhaoyin Chen, Oliver Schütze, Jian-Qiao Sun
A neural network-evolutionary computational framework for remaining useful life estimation of mechanical systems. Neural Networks 116 (2019)
Honggang Wang, David Laredo, Oliver Cuate, Oliver Schütze
Enhanced directed search: a continuation method for mixed-integer multi-objective optimization problems. Ann. Oper. Res. 279 (1-2) (2019)
David Laredo, Yulin Qin, Oliver Schütze, Jian-Qiao Sun
Automatic Model Selection for Neural Networks. CoRR (2019)
Lourdes Uribe, Oliver Schütze, Adriana Lara
Toward a New Family of Hybrid Evolutionary Algorithms. EMO (2019)
Oliver Cuate, Oliver Schütze
Variation Rate: An Alternative to Maintain Diversity in Decision Space for Multi-objective Evolutionary Algorithms. EMO (2019)
Adriana Lara, Lourdes Uribe, Sergio Alvarado, Víctor Adrián Sosa-Hernández, Honggang Wang, Oliver Schütze
On the choice of neighborhood sampling to build effective search operators for constrained MOPs. Memetic Comput. 11 (2) (2019)
José Alejandro Galaviz-Aguilar, Patrick Roblin, José Ricardo Cárdenas-Valdez, Emigdio Z.-Flores, Leonardo Trujillo, José-Cruz Nuñez Pérez, Oliver Schütze
Comparison of a genetic programming approach with ANFIS for power amplifier behavioral modeling and FPGA implementation. Soft Comput. 23 (7) (2019)
Sergio Alvarado, Carlos Segura, Oliver Schütze, Saúl Zapotecas Martínez
The Gradient Subspace Approximation as Local Search Engine within Evolutionary Multi-objective Optimization Algorithms. Computación y Sistemas 22 (2) (2018)
Oliver Schütze, Sergio Alvarado, Carlos Segura, Ricardo Landa
Gradient subspace approximation: a direct search method for memetic computing. Soft Comput. 21 (21) (2017)
Jian-Qiao Sun, Oliver Schütze
A hybrid evolutionary algorithm and cell mapping method for multi-objective optimization problems. SSCI (2017)
Oliver Cuate, Bilel Derbel, Arnaud Liefooghe, El-Ghazali Talbi, Oliver Schütze
An Approach for the Local Exploration of Discrete Many Objective Optimization Problems. EMO (2017)
Juan Carlos Dibene, Yazmín Maldonado, Carlos Vera, Maurício C. de Oliveira, Leonardo Trujillo, Oliver Schütze
Optimizing the location of ambulances in Tijuana, Mexico. Comput. Biol. Medicine 80 (2017)
Sergio Alvarado, Adriana Lara, Víctor Adrián Sosa-Hernández, Oliver Schütze
An effective mutation operator to deal with multi-objective constrained problems: SPM. CCE (2016)
Günter Rudolph, Oliver Schütze, Christian Grimme, Christian Domínguez-Medina, Heike Trautmann
Optimal averaged Hausdorff archives for bi-objective problems: theoretical and numerical results. Comput. Optim. Appl. 64 (2) (2016)
Oliver Schütze, Adanay Martín, Adriana Lara, Sergio Alvarado, Eduardo Salinas, Carlos A. Coello Coello
The directed search method for multi-objective memetic algorithms. Comput. Optim. Appl. 63 (2) (2016)
Fu-Rui Xiong, Oliver Schütze, Qian Ding, Jian-Qiao Sun
Finding zeros of nonlinear functions using the hybrid parallel cell mapping method. Commun. Nonlinear Sci. Numer. Simul. 34 (2016)
Oliver Schütze, Víctor Adrián Sosa-Hernández, Heike Trautmann, Günter Rudolph
The hypervolume based directed search method for multi-objective optimization problems. J. Heuristics 22 (3) (2016)
Leonardo Trujillo, Emigdio Z.-Flores, Perla S. Juárez-Smith, Pierrick Legrand, Sara Silva, Mauro Castelli, Leonardo Vanneschi, Oliver Schütze, Luis Muñoz
Local Search is Underused in Genetic Programming. GPTP (2016)
Nancy Pérez, Oliver Cuate, Oliver Schütze, Alejandro Alvarado
Including Users Preferences in the Decision Making for Discrete Many Objective Optimization Problems. Computación y Sistemas 20 (4) (2016)
Oliver Cuate, Adriana Lara, Oliver Schütze
A local exploration tool for linear many objective optimization problems. CCE (2016)
Günter Rudolph, Oliver Schütze, Heike Trautmann
On the Closest Averaged Hausdorff Archive for a Circularly Convex Pareto Front. EvoApplications (2) (2016)
Juan Carlos Dibene, Yazmín Maldonado, Carlos Vera, Leonardo Trujillo, Maurício C. de Oliveira, Oliver Schütze
The Ambulance Location Problem in Tijuana, Mexico. NEO (2015)
Sergio Morales Pacheco, Oliver Schütze, Carlos Vera, Leonardo Trujillo, Yazmín Maldonado
Solving the ambulance location problem in Tijuana-Mexico using a continuous location model. CEC (2015)
Víctor Adrián Sosa-Hernández, Adriana Lara, Heike Trautmann, Günter Rudolph, Oliver Schütze
The Directed Search Method for Unconstrained Parameter Dependent Multi-objective Optimization Problems. NEO (2015)
Víctor Adrián Sosa-Hernández, Oliver Schütze, Heike Trautmann, Günter Rudolph
On the Behavior of Stochastic Local Search Within Parameter Dependent MOPs. EMO (2) (2015)
Zhi-Chang Qin, Fu-Rui Xiong, Yousef Sardahi, Yousef Naranjani, Oliver Schütze, Jian-Qiao Sun
Multi-objective Optimal Design of Nonlinear Controls. NEO (2015)
Emigdio Z.-Flores, Leonardo Trujillo, Oliver Schütze, Pierrick Legrand
A Local Search Approach to Genetic Programming for Binary Classification. GECCO (2015)
Günter Rudolph, Oliver Schütze, Christian Grimme, Heike Trautmann
An Aspiration Set EMOA Based on Averaged Hausdorff Distances. LION (2014)
Alexandru-Adrian Tantar, Emilia Tantar, Oliver Schütze
Asymmetric quadratic landscape approximation model. GECCO (2014)
Fu-Rui Xiong, Zhi-Chang Qin, Yang Xue, Oliver Schütze, Qian Ding, Jian-Qiao Sun
Multi-objective optimal design of feedback controls for dynamical systems with hybrid simple cell mapping algorithm. Commun. Nonlinear Sci. Numer. Simul. 19 (5) (2014)
Víctor Adrián Sosa-Hernández, Oliver Schütze, Günter Rudolph, Heike Trautmann
Directed search method for indicator-based multi-objective evolutionary algorithms. GECCO (Companion) (2013)
Alexandru-Adrian Tantar, Emilia Tantar, Pascal Bouvry, Oliver Schütze, Carlos A. Coello Coello, Pierre Del Moral
Special issue on evolutionary computing and complex systems. Soft Comput. 17 (6) (2013)
Günter Rudolph, Heike Trautmann, Soumyadip Sengupta, Oliver Schütze
Evenly Spaced Pareto Front Approximations for Tricriteria Problems Based on Triangulation. EMO (2013)
Christian Domínguez-Medina, Günter Rudolph, Oliver Schütze, Heike Trautmann
Evenly spaced Pareto fronts of quad-objective problems using PSA partitioning technique. IEEE Congress on Evolutionary Computation (2013)
Oliver Schütze, Xavier Esquivel, Adriana Lara, Carlos A. Coello Coello
Using the Averaged Hausdorff Distance as a Performance Measure in Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. 16 (4) (2012)
Shaul Salomon, Christian Domínguez-Medina, Gideon Avigad, Alan Lopes de Sousa Freitas, Alex Goldvard, Oliver Schütze, Heike Trautmann
PSA Based Multi Objective Evolutionary Algorithms. EVOLVE (III) (2012)
Adriana Lara, Sergio Alvarado, Shaul Salomon, Gideon Avigad, Carlos A. Coello Coello, Oliver Schütze
The Gradient Free Directed Search Method as Local Search within Multi-Objective Evolutionary Algorithms. EVOLVE (2012)
Günter Rudolph, Heike Trautmann, Oliver Schütze
Homogene Approximation der Paretofront bei mehrkriteriellen Kontrollproblemen. Autom. 60 (10) (2012)
Shaul Salomon, Gideon Avigad, Alex Goldvard, Oliver Schütze
PSA - A New Scalable Space Partition Based Selection Algorithm for MOEAs. EVOLVE (2012)
Heike Trautmann, Günter Rudolph, Christian Domínguez-Medina, Oliver Schütze
Finding Evenly Spaced Pareto Fronts for Three-Objective Optimization Problems. EVOLVE (2012)
Oliver Schütze, Adriana Lara, Carlos A. Coello Coello
On the Influence of the Number of Objectives on the Hardness of a Multiobjective Optimization Problem. IEEE Trans. Evol. Comput. 15 (4) (2011)
Matthias W. Blesken, Anouar Chebil, Ulrich Rückert, Xavier Esquivel, Oliver Schütze
Integrated circuit optimization by means of evolutionary multi-objective optimization. GECCO (2011)
Oliver Schütze, Massimiliano Vasile, Carlos A. Coello Coello
Computing the Set of Epsilon-Efficient Solutions in Multiobjective Space Mission Design. J. Aerosp. Comput. Inf. Commun. 8 (3) (2011)
Erick Mejía, Oliver Schütze
A predictor corrector method for the computation of boundary points of a multi-objective optimization problem. CCE (2010)
Adriana Lara Lopez, Carlos A. Coello Coello, Oliver Schütze
A painless gradient-assisted multi-objective memetic mechanism for solving continuous bi-objective optimization problems. IEEE Congress on Evolutionary Computation (2010)
Adriana Lara, Oliver Schütze, Carlos A. Coello Coello
New challenges for memetic algorithms on continuous multi-objective problems. GECCO (Companion) (2010)
Oliver Schütze, Adriana Lara, Carlos A. Coello Coello, Massimiliano Vasile
Computing approximate solutions of scalar optimization problems and applications in space mission design. IEEE Congress on Evolutionary Computation (2010)
Adriana Lara, Carlos A. Coello Coello, Oliver Schütze
Using gradient information for multi-objective problems in the evolutionary context. GECCO (Companion) (2010)
Oliver Schütze, Xavier Esquivel, Adriana Lara, Carlos A. Coello Coello
Some comments on GD and IGD and relations to the Hausdorff distance. GECCO (Companion) (2010)
Adriana Lara, Gustavo Sanchez, Carlos A. Coello Coello, Oliver Schütze
HCS: A New Local Search Strategy for Memetic Multiobjective Evolutionary Algorithms. IEEE Trans. Evol. Comput. 14 (1) (2010)
Oliver Schütze, Marco Laumanns, Emilia Tantar, Carlos A. Coello Coello, El-Ghazali Talbi
Computing Gap Free Pareto Front Approximations with Stochastic Search Algorithms. Evol. Comput. 18 (1) (2010)
Xavicr Esquivel Sanchez, Oliver Schütze
On the interplay of generator and archiver within archive based multiobjective evolutionary algorithms. CCE (2010)
Luis Gerardo de la Fraga, Oliver Schütze
Direct Calibration by Fitting of Cuboids to a Single Image Using Differential Evolution. Int. J. Comput. Vis. 81 (2) (2009)
Adriana Lara, Carlos A. Coello Coello, Oliver Schütze
Using gradient-based information to deal with scalability in multi-objective evolutionary algorithms. IEEE Congress on Evolutionary Computation (2009)
Oliver Schütze, Adriana Lara, Carlos A. Coello Coello
Evolutionary continuation methods for optimization problems. GECCO (2009)
Oliver Schütze, Marco Laumanns, Carlos A. Coello Coello, Michael Dellnitz, El-Ghazali Talbi
Convergence of stochastic search algorithms to finite size pareto set approximations. J. Glob. Optim. 41 (4) (2008)
Oliver Schütze, Carlos A. Coello Coello, Emilia Tantar, El-Ghazali Talbi
Computing finite size representations of the set of approximate solutions of an MOP with stochastic search algorithms. GECCO (2008)
Oliver Schütze, Massimiliano Vasile, Carlos A. Coello Coello
Approximate Solutions in Space Mission Design. PPSN (2008)
Oliver Schütze, Marco Laumanns, Carlos A. Coello Coello
Approximating the Knee of an MOP with Stochastic Search Algorithms. PPSN (2008)
Emilia Tantar, Oliver Schütze, José Rui Figueira, Carlos A. Coello Coello, El-Ghazali Talbi
Computing and Selecting ε-Efficient Solutions of {0, 1}-Knapsack Problems. MCDM (2008)
Oliver Schütze, Carlos A. Coello Coello, Emilia Tantar, El-Ghazali Talbi
Computing a Finite Size Representation of the Set of Approximate Solutions of an MOP CoRR (2008)
Oliver Schütze, Gustavo Sanchez, Carlos A. Coello Coello
A new memetic strategy for the numerical treatment of multi-objective optimization problems. GECCO (2008)
Oliver Schütze, El-Ghazali Talbi, Carlos A. Coello Coello, Luis V. Santana-Quintero, Gregorio Toscano Pulido
A Memetic PSO Algorithm for Scalar Optimization Problems. SIS (2007)
Oliver Schütze, Marco Laumanns, Emilia Tantar, Carlos A. Coello Coello, El-Ghazali Talbi
Convergence of stochastic search algorithms to gap-free pareto front approximations. GECCO (2007)
Oliver Schütze, Carlos A. Coello Coello, El-Ghazali Talbi
-Efficient Set of an MOP with Stochastic Search Algorithms. MICAI (2007)
Oliver Schütze, Laetitia Jourdan, Thomas Legrand, El-Ghazali Talbi, Jean Luc Wojkiewicz
A Multi-objective Approach to the Design of Conducting Polymer Composites for Electromagnetic Shielding. EMO (2006)
Oliver Schütze, Alessandro Dell'Aere, Michael Dellnitz
On Continuation Methods for the Numerical Treatment of Multi-Objective Optimization Problems. Practical Approaches to Multi-Objective Optimization (2005)
Oliver Schütze, Sanaz Mostaghim, Michael Dellnitz, Jürgen Teich
Covering Pareto Sets by Multilevel Evolutionary Subdivision Techniques. EMO (2003)
Oliver Schütze
A New Data Structure for the Nondominance Problem in Multi-objective Optimization. EMO (2003)