Oliver Schütze

99 papers A 10B 5C 9Journal 38Unranked 31

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Newton Method for Hausdorff Approximations of the Pareto Front Within Multiobjective Evolutionary Algorithms. IEEE Trans. Evol. Comput. Hao Wang, Angel E. Rodriguez-Fernandez, Lourdes Uribe, André H. Deutz, Oziel Cortés-Piña, Oliver Schütze
2025	—	`conf`	Finding the Set of Nearly Optimal Solutions of a Multi-objective Optimization Problem. GECCO Companion Oliver Schütze, Angel E. Rodriguez-Fernandez, Carlos Segura, Carlos Ignacio Hernández Castellanos
2025	J	`jnl`	Finding the Set of Nearly Optimal Solutions of a Multiobjective Optimization Problem. IEEE Trans. Evol. Comput. Oliver Schütze, Angel E. Rodriguez-Fernandez, Carlos Segura, Carlos Hernández
2025	J	`jnl`	Finding ϵ-Locally Optimal Solutions for Multiobjective Multimodal Optimization. IEEE Trans. Evol. Comput. Angel E. Rodriguez-Fernandez, Lennart Schäpermeier, Carlos Hernández, Pascal Kerschke, Heike Trautmann, Oliver Schütze
2025	—	`conf`	Hot Off the Press: A Newton Method for Hausdorff Approximations of the Pareto Front within Multi-objective Evolutionary Algorithms. GECCO Companion Hao Wang, Angel E. Rodriguez-Fernandez, Lourdes Uribe, André H. Deutz, Oziel Cortés-Piña, Oliver Schütze
2025	—	`conf`	Hot off the Press: Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization. GECCO Companion Angel E. Rodriguez-Fernandez, Lennart Schäpermeier, Carlos Ignacio Hernández Castellanos, Pascal Kerschke, Heike Trautmann, Oliver Schütze
2025	J	`jnl`	MMD-Newton Method for Multi-objective Optimization. CoRR Hao Wang, Chenyu Shi, Angel E. Rodriguez-Fernandez, Oliver Schütze
2025	—	`conf`	On the Approximation of the Entire Pareto Front of a Constrained Multi-objective Optimization Problem. EMO (2) Angel E. Rodriguez-Fernandez, Carlos Ignacio Hernández Castellanos, Oliver Schütze
2024	J	`jnl`	A Newton Method for Hausdorff Approximations of the Pareto Front within Multi-objective Evolutionary Algorithms. CoRR Hao Wang, Angel E. Rodriguez-Fernandez, Lourdes Uribe, André H. Deutz, Oziel Cortés-Piña, Oliver Schütze
2024	—	`conf`	Hypervolume Gradient Subspace Approximation. PPSN (4) Kenneth Zhang, Angel E. Rodriguez-Fernandez, Ke Shang, Hisao Ishibuchi, Oliver Schütze
2023	J	`jnl`	The Importance of Diversity in the Variable Space in the Design of Multi-Objective Evolutionary Algorithms. Appl. Soft Comput. Carlos Segura, Joel Chacón Castillo, Oliver Schütze
2022	A	`conf`	A bounded archive based for bi-objective problems based on distance and e-dominance to avoid cyclic behavior. GECCO Carlos Hernández, Oliver Schütze
2022	—	`conf`	Archivers for single- and multi-objective evolutionary optimization algorithms. GECCO Companion Carlos Hernández, Oliver Schütze
2022	J	`jnl`	Towards fast approximations for the hypervolume indicator for multi-objective optimization problems by Genetic Programming. Appl. Soft Comput. Cristian Sandoval, Oliver Cuate, Luis C. González, Leonardo Trujillo, Oliver Schütze
2021	J	`jnl`	A new gradient free local search mechanism for constrained multi-objective optimization problems. Swarm Evol. Comput. Lourdes Uribe, Adriana Lara, Kalyanmoy Deb, Oliver Schütze
2021	—	`book`	Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms, 2 Oliver Schütze, Carlos Hernández
2020	J	`jnl`	A benchmark for equality constrained multi-objective optimization. Swarm Evol. Comput. Oliver Cuate, Lourdes Uribe, Adriana Lara, Oliver Schütze
2020	J	`jnl`	Metaheuristics to solve grouping problems: A review and a case study. Swarm Evol. Comput. Octavio Ramos-Figueroa, Marcela Quiroz-Castellanos, Efrén Mezura-Montes, Oliver Schütze
2020	J	`jnl`	On the efficient computation and use of multi-objective descent directions within constrained MOEAs. Swarm Evol. Comput. Lourdes Uribe, Adriana Lara, Oliver Schütze
2020	J	`jnl`	Pareto Explorer for Solving Real World Applications. Res. Comput. Sci. Oliver Cuate, Oliver Schütze
2020	J	`jnl`	The Set-Based Hypervolume Newton Method for Bi-Objective Optimization. IEEE Trans. Cybern. Víctor Adrián Sosa-Hernández, Oliver Schütze, Hao Wang, André H. Deutz, Michael Emmerich
2020	—	`conf`	Using gradient-free local search within MOEAs for the treatment of constrained MOPs. GECCO Companion Lourdes Uribe, Adriana Lara, Kalyanmoy Deb, Oliver Schütze
2019	J	`jnl`	A Neural Network-Evolutionary Computational Framework for Remaining Useful Life Estimation of Mechanical Systems. CoRR David Laredo, Zhaoyin Chen, Oliver Schütze, Jian-Qiao Sun
2019	C	`conf`	A New Hybrid Metaheuristic for Equality Constrained Bi-objective Optimization Problems. EMO Oliver Cuate, Lourdes Uribe, Antonin Ponsich, Adriana Lara, Fernanda Beltran, Alberto Rodríguez Sánchez, Oliver Schütze
2019	J	`jnl`	A neural network-evolutionary computational framework for remaining useful life estimation of mechanical systems. Neural Networks David Laredo, Zhaoyin Chen, Oliver Schütze, Jian-Qiao Sun
2019	J	`jnl`	Automatic Model Selection for Neural Networks. CoRR David Laredo, Yulin Qin, Oliver Schütze, Jian-Qiao Sun
2019	J	`jnl`	Comparison of a genetic programming approach with ANFIS for power amplifier behavioral modeling and FPGA implementation. Soft Comput. José Alejandro Galaviz-Aguilar, Patrick Roblin, José Ricardo Cárdenas-Valdez, Emigdio Z.-Flores, Leonardo Trujillo, José-Cruz Nuñez Pérez, Oliver Schütze
2019	J	`jnl`	Enhanced directed search: a continuation method for mixed-integer multi-objective optimization problems. Ann. Oper. Res. Honggang Wang, David Laredo, Oliver Cuate, Oliver Schütze
2019	J	`jnl`	On the choice of neighborhood sampling to build effective search operators for constrained MOPs. Memetic Comput. Adriana Lara, Lourdes Uribe, Sergio Alvarado, Víctor Adrián Sosa-Hernández, Honggang Wang, Oliver Schütze
2019	C	`conf`	Toward a New Family of Hybrid Evolutionary Algorithms. EMO Lourdes Uribe, Oliver Schütze, Adriana Lara
2019	C	`conf`	Variation Rate: An Alternative to Maintain Diversity in Decision Space for Multi-objective Evolutionary Algorithms. EMO Oliver Cuate, Oliver Schütze
2018	J	`jnl`	The Gradient Subspace Approximation as Local Search Engine within Evolutionary Multi-objective Optimization Algorithms. Computación y Sistemas Sergio Alvarado, Carlos Segura, Oliver Schütze, Saúl Zapotecas Martínez
2017	—	`conf`	A hybrid evolutionary algorithm and cell mapping method for multi-objective optimization problems. SSCI Jian-Qiao Sun, Oliver Schütze
2017	C	`conf`	An Approach for the Local Exploration of Discrete Many Objective Optimization Problems. EMO Oliver Cuate, Bilel Derbel, Arnaud Liefooghe, El-Ghazali Talbi, Oliver Schütze
2017	C	`ed.`	Evolutionary Multi-Criterion Optimization - 9th International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings EMO Heike Trautmann, Günter Rudolph, Kathrin Klamroth, Oliver Schütze, Margaret M. Wiecek, Yaochu Jin, Christian Grimme
2017	J	`jnl`	Gradient subspace approximation: a direct search method for memetic computing. Soft Comput. Oliver Schütze, Sergio Alvarado, Carlos Segura, Ricardo Landa
2017	—	`ed.`	NEO 2015 - Results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at September 23-25 2015 in Tijuana, Mexico NEO Oliver Schütze, Leonardo Trujillo, Pierrick Legrand, Yazmín Maldonado
2017	J	`jnl`	Optimizing the location of ambulances in Tijuana, Mexico. Comput. Biol. Medicine Juan Carlos Dibene, Yazmín Maldonado, Carlos Vera, Maurício C. de Oliveira, Leonardo Trujillo, Oliver Schütze
2016	—	`conf`	A local exploration tool for linear many objective optimization problems. CCE Oliver Cuate, Adriana Lara, Oliver Schütze
2016	—	`conf`	An effective mutation operator to deal with multi-objective constrained problems: SPM. CCE Sergio Alvarado, Adriana Lara, Víctor Adrián Sosa-Hernández, Oliver Schütze
2016	J	`jnl`	Finding zeros of nonlinear functions using the hybrid parallel cell mapping method. Commun. Nonlinear Sci. Numer. Simul. Fu-Rui Xiong, Oliver Schütze, Qian Ding, Jian-Qiao Sun
2016	J	`jnl`	Including Users Preferences in the Decision Making for Discrete Many Objective Optimization Problems. Computación y Sistemas Nancy Pérez, Oliver Cuate, Oliver Schütze, Alejandro Alvarado
2016	—	`conf`	Local Search is Underused in Genetic Programming. GPTP Leonardo Trujillo, Emigdio Z.-Flores, Perla S. Juárez-Smith, Pierrick Legrand, Sara Silva, Mauro Castelli, Leonardo Vanneschi, Oliver Schütze, Luis Muñoz
2016	—	`conf`	On the Closest Averaged Hausdorff Archive for a Circularly Convex Pareto Front. EvoApplications (2) Günter Rudolph, Oliver Schütze, Heike Trautmann
2016	J	`jnl`	Optimal averaged Hausdorff archives for bi-objective problems: theoretical and numerical results. Comput. Optim. Appl. Günter Rudolph, Oliver Schütze, Christian Grimme, Christian Domínguez-Medina, Heike Trautmann
2016	J	`jnl`	The directed search method for multi-objective memetic algorithms. Comput. Optim. Appl. Oliver Schütze, Adanay Martín, Adriana Lara, Sergio Alvarado, Eduardo Salinas, Carlos A. Coello Coello
2016	J	`jnl`	The hypervolume based directed search method for multi-objective optimization problems. J. Heuristics Oliver Schütze, Víctor Adrián Sosa-Hernández, Heike Trautmann, Günter Rudolph
2015	A	`conf`	A Local Search Approach to Genetic Programming for Binary Classification. GECCO Emigdio Z.-Flores, Leonardo Trujillo, Oliver Schütze, Pierrick Legrand
2015	—	`conf`	Multi-objective Optimal Design of Nonlinear Controls. NEO Zhi-Chang Qin, Fu-Rui Xiong, Yousef Sardahi, Yousef Naranjani, Oliver Schütze, Jian-Qiao Sun
2015	—	`conf`	On the Behavior of Stochastic Local Search Within Parameter Dependent MOPs. EMO (2) Víctor Adrián Sosa-Hernández, Oliver Schütze, Heike Trautmann, Günter Rudolph
2015	B	`conf`	Solving the ambulance location problem in Tijuana-Mexico using a continuous location model. CEC Sergio Morales Pacheco, Oliver Schütze, Carlos Vera, Leonardo Trujillo, Yazmín Maldonado
2015	—	`conf`	The Ambulance Location Problem in Tijuana, Mexico. NEO Juan Carlos Dibene, Yazmín Maldonado, Carlos Vera, Leonardo Trujillo, Maurício C. de Oliveira, Oliver Schütze
2015	—	`conf`	The Directed Search Method for Unconstrained Parameter Dependent Multi-objective Optimization Problems. NEO Víctor Adrián Sosa-Hernández, Adriana Lara, Heike Trautmann, Günter Rudolph, Oliver Schütze
2014	—	`conf`	An Aspiration Set EMOA Based on Averaged Hausdorff Distances. LION Günter Rudolph, Oliver Schütze, Christian Grimme, Heike Trautmann
2014	A	`conf`	Asymmetric quadratic landscape approximation model. GECCO Alexandru-Adrian Tantar, Emilia Tantar, Oliver Schütze
2014	J	`jnl`	Multi-objective optimal design of feedback controls for dynamical systems with hybrid simple cell mapping algorithm. Commun. Nonlinear Sci. Numer. Simul. Fu-Rui Xiong, Zhi-Chang Qin, Yang Xue, Oliver Schütze, Qian Ding, Jian-Qiao Sun
2013	—	`conf`	Directed search method for indicator-based multi-objective evolutionary algorithms. GECCO (Companion) Víctor Adrián Sosa-Hernández, Oliver Schütze, Günter Rudolph, Heike Trautmann
2013	—	`book`	EVOLVE - A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation EVOLVE Emilia Tantar, Alexandru-Adrian Tantar, Pascal Bouvry, Pierre Del Moral, Pierrick Legrand, Carlos A. Coello Coello, Oliver Schütze
2013	—	`ed.`	EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II, EVOLVE 2012, Mexico City, Mexico, August 7-9, 2012, Proceedings EVOLVE Oliver Schütze, Carlos A. Coello Coello, Alexandru-Adrian Tantar, Emilia Tantar, Pascal Bouvry, Pierre Del Moral, Pierrick Legrand
2013	C	`conf`	Evenly Spaced Pareto Front Approximations for Tricriteria Problems Based on Triangulation. EMO Günter Rudolph, Heike Trautmann, Soumyadip Sengupta, Oliver Schütze
2013	B	`conf`	Evenly spaced Pareto fronts of quad-objective problems using PSA partitioning technique. IEEE Congress on Evolutionary Computation Christian Domínguez-Medina, Günter Rudolph, Oliver Schütze, Heike Trautmann
2013	—	`ch.`	On Gradient-Based Local Search to Hybridize Multi-objective Evolutionary Algorithms. EVOLVE Adriana Lara, Oliver Schütze, Carlos A. Coello Coello
2013	—	`ch.`	Set Oriented Methods for the Numerical Treatment of Multiobjective Optimization Problems. EVOLVE Oliver Schütze, Katrin Witting, Sina Ober-Blöbaum, Michael Dellnitz
2013	J	`jnl`	Special issue on evolutionary computing and complex systems. Soft Comput. Alexandru-Adrian Tantar, Emilia Tantar, Pascal Bouvry, Oliver Schütze, Carlos A. Coello Coello, Pierre Del Moral
2012	—	`conf`	Finding Evenly Spaced Pareto Fronts for Three-Objective Optimization Problems. EVOLVE Heike Trautmann, Günter Rudolph, Christian Domínguez-Medina, Oliver Schütze
2012	J	`jnl`	Homogene Approximation der Paretofront bei mehrkriteriellen Kontrollproblemen. Autom. Günter Rudolph, Heike Trautmann, Oliver Schütze
2012	—	`conf`	PSA - A New Scalable Space Partition Based Selection Algorithm for MOEAs. EVOLVE Shaul Salomon, Gideon Avigad, Alex Goldvard, Oliver Schütze
2012	—	`conf`	PSA Based Multi Objective Evolutionary Algorithms. EVOLVE (III) Shaul Salomon, Christian Domínguez-Medina, Gideon Avigad, Alan Lopes de Sousa Freitas, Alex Goldvard, Oliver Schütze, Heike Trautmann
2012	—	`conf`	The Gradient Free Directed Search Method as Local Search within Multi-Objective Evolutionary Algorithms. EVOLVE Adriana Lara, Sergio Alvarado, Shaul Salomon, Gideon Avigad, Carlos A. Coello Coello, Oliver Schütze
2012	J	`jnl`	Using the Averaged Hausdorff Distance as a Performance Measure in Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. Oliver Schütze, Xavier Esquivel, Adriana Lara, Carlos A. Coello Coello
2011	J	`jnl`	Computing the Set of Epsilon-Efficient Solutions in Multiobjective Space Mission Design. J. Aerosp. Comput. Inf. Commun. Oliver Schütze, Massimiliano Vasile, Carlos A. Coello Coello
2011	A	`conf`	Integrated circuit optimization by means of evolutionary multi-objective optimization. GECCO Matthias W. Blesken, Anouar Chebil, Ulrich Rückert, Xavier Esquivel, Oliver Schütze
2011	J	`jnl`	On the Influence of the Number of Objectives on the Hardness of a Multiobjective Optimization Problem. IEEE Trans. Evol. Comput. Oliver Schütze, Adriana Lara, Carlos A. Coello Coello
2010	B	`conf`	A painless gradient-assisted multi-objective memetic mechanism for solving continuous bi-objective optimization problems. IEEE Congress on Evolutionary Computation Adriana Lara Lopez, Carlos A. Coello Coello, Oliver Schütze
2010	—	`conf`	A predictor corrector method for the computation of boundary points of a multi-objective optimization problem. CCE Erick Mejía, Oliver Schütze
2010	J	`jnl`	Computing Gap Free Pareto Front Approximations with Stochastic Search Algorithms. Evol. Comput. Oliver Schütze, Marco Laumanns, Emilia Tantar, Carlos A. Coello Coello, El-Ghazali Talbi
2010	B	`conf`	Computing approximate solutions of scalar optimization problems and applications in space mission design. IEEE Congress on Evolutionary Computation Oliver Schütze, Adriana Lara, Carlos A. Coello Coello, Massimiliano Vasile
2010	J	`jnl`	HCS: A New Local Search Strategy for Memetic Multiobjective Evolutionary Algorithms. IEEE Trans. Evol. Comput. Adriana Lara, Gustavo Sanchez, Carlos A. Coello Coello, Oliver Schütze
2010	—	`conf`	New challenges for memetic algorithms on continuous multi-objective problems. GECCO (Companion) Adriana Lara, Oliver Schütze, Carlos A. Coello Coello
2010	—	`conf`	On the interplay of generator and archiver within archive based multiobjective evolutionary algorithms. CCE Xavicr Esquivel Sanchez, Oliver Schütze
2010	—	`conf`	Some comments on GD and IGD and relations to the Hausdorff distance. GECCO (Companion) Oliver Schütze, Xavier Esquivel, Adriana Lara, Carlos A. Coello Coello
2010	—	`conf`	Using gradient information for multi-objective problems in the evolutionary context. GECCO (Companion) Adriana Lara, Carlos A. Coello Coello, Oliver Schütze
2009	J	`jnl`	Direct Calibration by Fitting of Cuboids to a Single Image Using Differential Evolution. Int. J. Comput. Vis. Luis Gerardo de la Fraga, Oliver Schütze
2009	A	`conf`	Evolutionary continuation methods for optimization problems. GECCO Oliver Schütze, Adriana Lara, Carlos A. Coello Coello
2009	B	`conf`	Using gradient-based information to deal with scalability in multi-objective evolutionary algorithms. IEEE Congress on Evolutionary Computation Adriana Lara, Carlos A. Coello Coello, Oliver Schütze
2008	A	`conf`	A new memetic strategy for the numerical treatment of multi-objective optimization problems. GECCO Oliver Schütze, Gustavo Sanchez, Carlos A. Coello Coello
2008	A	`conf`	Approximate Solutions in Space Mission Design. PPSN Oliver Schütze, Massimiliano Vasile, Carlos A. Coello Coello
2008	A	`conf`	Approximating the Knee of an MOP with Stochastic Search Algorithms. PPSN Oliver Schütze, Marco Laumanns, Carlos A. Coello Coello
2008	J	`jnl`	Computing a Finite Size Representation of the Set of Approximate Solutions of an MOP CoRR Oliver Schütze, Carlos A. Coello Coello, Emilia Tantar, El-Ghazali Talbi
2008	—	`conf`	Computing and Selecting ε-Efficient Solutions of {0, 1}-Knapsack Problems. MCDM Emilia Tantar, Oliver Schütze, José Rui Figueira, Carlos A. Coello Coello, El-Ghazali Talbi
2008	A	`conf`	Computing finite size representations of the set of approximate solutions of an MOP with stochastic search algorithms. GECCO Oliver Schütze, Carlos A. Coello Coello, Emilia Tantar, El-Ghazali Talbi
2008	J	`jnl`	Convergence of stochastic search algorithms to finite size pareto set approximations. J. Glob. Optim. Oliver Schütze, Marco Laumanns, Carlos A. Coello Coello, Michael Dellnitz, El-Ghazali Talbi
2007	—	`conf`	A Memetic PSO Algorithm for Scalar Optimization Problems. SIS Oliver Schütze, El-Ghazali Talbi, Carlos A. Coello Coello, Luis V. Santana-Quintero, Gregorio Toscano Pulido
2007	C	`conf`	A Multi-objective Approach to the Design of Conducting Polymer Composites for Electromagnetic Shielding. EMO Oliver Schütze, Laetitia Jourdan, Thomas Legrand, El-Ghazali Talbi, Jean Luc Wojkiewicz
2007	—	`conf`	Approximating the MICAI Oliver Schütze, Carlos A. Coello Coello, El-Ghazali Talbi
2007	A	`conf`	Convergence of stochastic search algorithms to gap-free pareto front approximations. GECCO Oliver Schütze, Marco Laumanns, Emilia Tantar, Carlos A. Coello Coello, El-Ghazali Talbi
2005	—	`conf`	On Continuation Methods for the Numerical Treatment of Multi-Objective Optimization Problems. Practical Approaches to Multi-Objective Optimization Oliver Schütze, Alessandro Dell'Aere, Michael Dellnitz
2003	C	`conf`	A New Data Structure for the Nondominance Problem in Multi-objective Optimization. EMO Oliver Schütze
2003	C	`conf`	Covering Pareto Sets by Multilevel Evolutionary Subdivision Techniques. EMO Oliver Schütze, Sanaz Mostaghim, Michael Dellnitz, Jürgen Teich