A New Data Structure for the Nondominance Problem in Multi-objective Optimization. - Oliver Schütze 001 (EMO, 2003)

Covering Pareto Sets by Multilevel Evolutionary Subdivision Techniques. - Oliver Schütze 001; Sanaz Mostaghim; Michael Dellnitz; Jürgen Teich (EMO, 2003)

On Continuation Methods for the Numerical Treatment of Multi-Objective Optimization Problems. - Oliver Schütze 001; Alessandro Dell'Aere; Michael Dellnitz (Practical Approaches to Multi-Objective Optimization, 2005)

A Multi-objective Approach to the Design of Conducting Polymer Composites for Electromagnetic Shielding. - Oliver Schütze 001; Laetitia Jourdan; Thomas Legrand; El-Ghazali Talbi; Jean Luc Wojkiewicz (EMO, 2007)

Convergence of stochastic search algorithms to gap-free pareto front approximations. - Oliver Schütze 001; Marco Laumanns; Emilia Tantar; Carlos A. Coello Coello; El-Ghazali Talbi (GECCO, 2007)

Approximating the epsilon -Efficient Set of an MOP with Stochastic Search Algorithms. - Oliver Schütze 001; Carlos A. Coello Coello; El-Ghazali Talbi (MICAI, 2007)

A Memetic PSO Algorithm for Scalar Optimization Problems. - Oliver Schütze 001; El-Ghazali Talbi; Carlos A. Coello Coello; Luis V. Santana-Quintero; Gregorio Toscano Pulido (SIS, 2007)

Computing finite size representations of the set of approximate solutions of an MOP with stochastic search algorithms. - Oliver Schütze 001; Carlos A. Coello Coello; Emilia Tantar; El-Ghazali Talbi (GECCO, 2008)

A new memetic strategy for the numerical treatment of multi-objective optimization problems. - Oliver Schütze 001; Gustavo Sanchez; Carlos A. Coello Coello (GECCO, 2008)

Computing and Selecting ε-Efficient Solutions of {0, 1}-Knapsack Problems. - Emilia Tantar; Oliver Schütze 001; José Rui Figueira; Carlos A. Coello Coello; El-Ghazali Talbi (MCDM, 2008)

Approximating the Knee of an MOP with Stochastic Search Algorithms. - Oliver Schütze 001; Marco Laumanns; Carlos A. Coello Coello (PPSN, 2008)

Approximate Solutions in Space Mission Design. - Oliver Schütze 001; Massimiliano Vasile; Carlos A. Coello Coello (PPSN, 2008)

Computing a Finite Size Representation of the Set of Approximate Solutions of an MOP - Oliver Schütze 001; Carlos A. Coello Coello; Emilia Tantar; El-Ghazali Talbi (CoRR, 2008)

Convergence of stochastic search algorithms to finite size pareto set approximations. - Oliver Schütze 001; Marco Laumanns; Carlos A. Coello Coello; Michael Dellnitz; El-Ghazali Talbi (J. Glob. Optim., 2008)

Using gradient-based information to deal with scalability in multi-objective evolutionary algorithms. - Adriana Lara; Carlos A. Coello Coello; Oliver Schütze 001 (IEEE Congress on Evolutionary Computation, 2009)

Evolutionary continuation methods for optimization problems. - Oliver Schütze 001; Adriana Lara; Carlos A. Coello Coello (GECCO, 2009)

Direct Calibration by Fitting of Cuboids to a Single Image Using Differential Evolution. - Luis Gerardo de la Fraga; Oliver Schütze 001 (Int. J. Comput. Vis., 2009)

A painless gradient-assisted multi-objective memetic mechanism for solving continuous bi-objective optimization problems. - Adriana Lara Lopez; Carlos A. Coello Coello; Oliver Schütze 001 (IEEE Congress on Evolutionary Computation, 2010)

Computing approximate solutions of scalar optimization problems and applications in space mission design. - Oliver Schütze 001; Adriana Lara; Carlos A. Coello Coello; Massimiliano Vasile (IEEE Congress on Evolutionary Computation, 2010)

Using gradient information for multi-objective problems in the evolutionary context. - Adriana Lara; Carlos A. Coello Coello; Oliver Schütze 001 (GECCO (Companion), 2010)

New challenges for memetic algorithms on continuous multi-objective problems. - Adriana Lara; Oliver Schütze 001; Carlos A. Coello Coello (GECCO (Companion), 2010)

Some comments on GD and IGD and relations to the Hausdorff distance. - Oliver Schütze 001; Xavier Esquivel; Adriana Lara; Carlos A. Coello Coello (GECCO (Companion), 2010)

A predictor corrector method for the computation of boundary points of a multi-objective optimization problem. - Erick Mejía; Oliver Schütze 001 (CCE, 2010)

On the interplay of generator and archiver within archive based multiobjective evolutionary algorithms. - Xavicr Esquivel Sanchez; Oliver Schütze 001 (CCE, 2010)

Computing Gap Free Pareto Front Approximations with Stochastic Search Algorithms. - Oliver Schütze 001; Marco Laumanns; Emilia Tantar; Carlos A. Coello Coello; El-Ghazali Talbi (Evol. Comput., 2010)

HCS: A New Local Search Strategy for Memetic Multiobjective Evolutionary Algorithms. - Adriana Lara; Gustavo Sanchez; Carlos A. Coello Coello; Oliver Schütze 001 (IEEE Trans. Evol. Comput., 2010)

Integrated circuit optimization by means of evolutionary multi-objective optimization. - Matthias W. Blesken; Anouar Chebil; Ulrich Rückert 001; Xavier Esquivel; Oliver Schütze 001 (GECCO, 2011)

Computing the Set of Epsilon-Efficient Solutions in Multiobjective Space Mission Design. - Oliver Schütze 001; Massimiliano Vasile; Carlos A. Coello Coello (J. Aerosp. Comput. Inf. Commun., 2011)

On the Influence of the Number of Objectives on the Hardness of a Multiobjective Optimization Problem. - Oliver Schütze 001; Adriana Lara; Carlos A. Coello Coello (IEEE Trans. Evol. Comput., 2011)

The Gradient Free Directed Search Method as Local Search within Multi-Objective Evolutionary Algorithms. - Adriana Lara; Sergio Alvarado; Shaul Salomon; Gideon Avigad; Carlos A. Coello Coello; Oliver Schütze 001 (EVOLVE, 2012)

PSA - A New Scalable Space Partition Based Selection Algorithm for MOEAs. - Shaul Salomon; Gideon Avigad; Alex Goldvard; Oliver Schütze 001 (EVOLVE, 2012)

PSA Based Multi Objective Evolutionary Algorithms. - Shaul Salomon; Christian Domínguez-Medina; Gideon Avigad; Alan Lopes de Sousa Freitas; Alex Goldvard; Oliver Schütze 001; Heike Trautmann (EVOLVE (III), 2012)

Finding Evenly Spaced Pareto Fronts for Three-Objective Optimization Problems. - Heike Trautmann; Günter Rudolph; Christian Domínguez-Medina; Oliver Schütze 001 (EVOLVE, 2012)

Homogene Approximation der Paretofront bei mehrkriteriellen Kontrollproblemen. - Günter Rudolph; Heike Trautmann; Oliver Schütze 001 (Autom., 2012)

Using the Averaged Hausdorff Distance as a Performance Measure in Evolutionary Multiobjective Optimization. - Oliver Schütze 001; Xavier Esquivel; Adriana Lara; Carlos A. Coello Coello (IEEE Trans. Evol. Comput., 2012)

Evenly spaced Pareto fronts of quad-objective problems using PSA partitioning technique. - Christian Domínguez-Medina; Günter Rudolph; Oliver Schütze 001; Heike Trautmann (IEEE Congress on Evolutionary Computation, 2013)

Evenly Spaced Pareto Front Approximations for Tricriteria Problems Based on Triangulation. - Günter Rudolph; Heike Trautmann; Soumyadip Sengupta; Oliver Schütze 001 (EMO, 2013)

Directed search method for indicator-based multi-objective evolutionary algorithms. - Víctor Adrián Sosa-Hernández; Oliver Schütze 001; Günter Rudolph; Heike Trautmann (GECCO (Companion), 2013)

Special issue on evolutionary computing and complex systems. - Alexandru-Adrian Tantar; Emilia Tantar; Pascal Bouvry; Oliver Schütze 001; Carlos A. Coello Coello; Pierre Del Moral (Soft Comput., 2013)

On Gradient-Based Local Search to Hybridize Multi-objective Evolutionary Algorithms. - Adriana Lara; Oliver Schütze 001; Carlos A. Coello Coello (EVOLVE, 2013)

Set Oriented Methods for the Numerical Treatment of Multiobjective Optimization Problems. - Oliver Schütze 001; Katrin Witting; Sina Ober-Blöbaum; Michael Dellnitz (EVOLVE, 2013)

Asymmetric quadratic landscape approximation model. - Alexandru-Adrian Tantar; Emilia Tantar; Oliver Schütze 001 (GECCO, 2014)

An Aspiration Set EMOA Based on Averaged Hausdorff Distances. - Günter Rudolph; Oliver Schütze 001; Christian Grimme; Heike Trautmann (LION, 2014)

Multi-objective optimal design of feedback controls for dynamical systems with hybrid simple cell mapping algorithm. - Fu-Rui Xiong; Zhi-Chang Qin; Yang Xue; Oliver Schütze 001; Qian Ding; Jian-Qiao Sun (Commun. Nonlinear Sci. Numer. Simul., 2014)

Solving the ambulance location problem in Tijuana-Mexico using a continuous location model. - Sergio Morales Pacheco; Oliver Schütze 001; Carlos Vera; Leonardo Trujillo; Yazmín Maldonado (CEC, 2015)

On the Behavior of Stochastic Local Search Within Parameter Dependent MOPs. - Víctor Adrián Sosa-Hernández; Oliver Schütze 001; Heike Trautmann; Günter Rudolph (EMO (2), 2015)

A Local Search Approach to Genetic Programming for Binary Classification. - Emigdio Z.-Flores; Leonardo Trujillo; Oliver Schütze 001; Pierrick Legrand (GECCO, 2015)

The Ambulance Location Problem in Tijuana, Mexico. - Juan Carlos Dibene; Yazmín Maldonado; Carlos Vera; Leonardo Trujillo; Maurício C. de Oliveira; Oliver Schütze 001 (NEO, 2015)

Multi-objective Optimal Design of Nonlinear Controls. - Zhi-Chang Qin; Fu-Rui Xiong; Yousef Sardahi; Yousef Naranjani; Oliver Schütze 001; Jian-Qiao Sun (NEO, 2015)

The Directed Search Method for Unconstrained Parameter Dependent Multi-objective Optimization Problems. - Víctor Adrián Sosa-Hernández; Adriana Lara; Heike Trautmann; Günter Rudolph; Oliver Schütze 001 (NEO, 2015)

On the Closest Averaged Hausdorff Archive for a Circularly Convex Pareto Front. - Günter Rudolph; Oliver Schütze 001; Heike Trautmann (EvoApplications (2), 2016)

Local Search is Underused in Genetic Programming. - Leonardo Trujillo; Emigdio Z.-Flores; Perla S. Juárez-Smith; Pierrick Legrand; Sara Silva; Mauro Castelli; Leonardo Vanneschi; Oliver Schütze 001; Luis Muñoz (GPTP, 2016)

An effective mutation operator to deal with multi-objective constrained problems: SPM. - Sergio Alvarado; Adriana Lara; Víctor Adrián Sosa-Hernández; Oliver Schütze 001 (CCE, 2016)

A local exploration tool for linear many objective optimization problems. - Oliver Cuate; Adriana Lara; Oliver Schütze 001 (CCE, 2016)

Finding zeros of nonlinear functions using the hybrid parallel cell mapping method. - Fu-Rui Xiong; Oliver Schütze 001; Qian Ding; Jian-Qiao Sun (Commun. Nonlinear Sci. Numer. Simul., 2016)

Optimal averaged Hausdorff archives for bi-objective problems: theoretical and numerical results. - Günter Rudolph; Oliver Schütze 001; Christian Grimme; Christian Domínguez-Medina; Heike Trautmann (Comput. Optim. Appl., 2016)

The directed search method for multi-objective memetic algorithms. - Oliver Schütze 001; Adanay Martín; Adriana Lara; Sergio Alvarado; Eduardo Salinas; Carlos A. Coello Coello (Comput. Optim. Appl., 2016)

Including Users Preferences in the Decision Making for Discrete Many Objective Optimization Problems. - Nancy Pérez; Oliver Cuate; Oliver Schütze 001; Alejandro Alvarado (Computación y Sistemas, 2016)

The hypervolume based directed search method for multi-objective optimization problems. - Oliver Schütze 001; Víctor Adrián Sosa-Hernández; Heike Trautmann; Günter Rudolph (J. Heuristics, 2016)

An Approach for the Local Exploration of Discrete Many Objective Optimization Problems. - Oliver Cuate; Bilel Derbel; Arnaud Liefooghe; El-Ghazali Talbi; Oliver Schütze 001 (EMO, 2017)

A hybrid evolutionary algorithm and cell mapping method for multi-objective optimization problems. - Jian-Qiao Sun; Oliver Schütze 001 (SSCI, 2017)

Optimizing the location of ambulances in Tijuana, Mexico. - Juan Carlos Dibene; Yazmín Maldonado; Carlos Vera; Maurício C. de Oliveira; Leonardo Trujillo; Oliver Schütze 001 (Comput. Biol. Medicine, 2017)

Gradient subspace approximation: a direct search method for memetic computing. - Oliver Schütze 001; Sergio Alvarado; Carlos Segura; Ricardo Landa (Soft Comput., 2017)

The Gradient Subspace Approximation as Local Search Engine within Evolutionary Multi-objective Optimization Algorithms. - Sergio Alvarado; Carlos Segura; Oliver Schütze 001; Saúl Zapotecas Martínez (Computación y Sistemas, 2018)

Editorial. - Leonardo Trujillo; Yazmín Maldonado; Oliver Schuetze 001 (Computación y Sistemas, 2018)

Variation Rate: An Alternative to Maintain Diversity in Decision Space for Multi-objective Evolutionary Algorithms. - Oliver Cuate; Oliver Schütze 001 (EMO, 2019)

A New Hybrid Metaheuristic for Equality Constrained Bi-objective Optimization Problems. - Oliver Cuate; Lourdes Uribe; Antonin Ponsich; Adriana Lara; Fernanda Beltran; Alberto Rodríguez Sánchez; Oliver Schütze 001 (EMO, 2019)

Toward a New Family of Hybrid Evolutionary Algorithms. - Lourdes Uribe; Oliver Schütze 001; Adriana Lara (EMO, 2019)

Sizing CMOS operational transconductance amplifiers applying NSGA-II and MOEAD. - Oliver Cuate; Oliver Schuetze 001; Francesco Grasso; Esteban Tlelo-Cuautle (MIPRO, 2019)

Enhanced directed search: a continuation method for mixed-integer multi-objective optimization problems. - Honggang Wang 002; David Laredo; Oliver Cuate; Oliver Schütze 001 (Ann. Oper. Res., 2019)

Automatic Model Selection for Neural Networks. - David Laredo; Yulin Qin; Oliver Schütze 001; Jian-Qiao Sun (CoRR, 2019)

Archivers for the representation of the set of approximate solutions for MOPs. - Oliver Schuetze 001; Carlos Hernández 004; El-Ghazali Talbi; Jian-Qiao Sun; Yousef Naranjani; Fu-Rui Xiong (J. Heuristics, 2019)

On the choice of neighborhood sampling to build effective search operators for constrained MOPs. - Adriana Lara; Lourdes Uribe; Sergio Alvarado; Víctor Adrián Sosa-Hernández; Honggang Wang 002; Oliver Schütze 001 (Memetic Comput., 2019)

A neural network-evolutionary computational framework for remaining useful life estimation of mechanical systems. - David Laredo; Zhaoyin Chen; Oliver Schütze 001; Jian-Qiao Sun (Neural Networks, 2019)

Comparison of a genetic programming approach with ANFIS for power amplifier behavioral modeling and FPGA implementation. - José Alejandro Galaviz-Aguilar; Patrick Roblin; José Ricardo Cárdenas-Valdez; Emigdio Z.-Flores; Leonardo Trujillo; José-Cruz Nuñez Pérez; Oliver Schütze 001 (Soft Comput., 2019)

Using gradient-free local search within MOEAs for the treatment of constrained MOPs. - Lourdes Uribe; Adriana Lara; Kalyanmoy Deb; Oliver Schütze 001 (GECCO Companion, 2020)

Pareto Explorer for Solving Real World Applications. - Oliver Cuate; Oliver Schütze 001 (Res. Comput. Sci., 2020)

A benchmark for equality constrained multi-objective optimization. - Oliver Cuate; Lourdes Uribe; Adriana Lara; Oliver Schütze 001 (Swarm Evol. Comput., 2020)

Metaheuristics to solve grouping problems: A review and a case study. - Octavio Ramos-Figueroa; Marcela Quiroz-Castellanos; Efrén Mezura-Montes; Oliver Schütze 001 (Swarm Evol. Comput., 2020)

On the efficient computation and use of multi-objective descent directions within constrained MOEAs. - Lourdes Uribe; Adriana Lara; Oliver Schütze 001 (Swarm Evol. Comput., 2020)

The Set-Based Hypervolume Newton Method for Bi-Objective Optimization. - Víctor Adrián Sosa-Hernández; Oliver Schütze 001; Hao Wang 025; André H. Deutz; Michael Emmerich 001 (IEEE Trans. Cybern., 2020)

A new gradient free local search mechanism for constrained multi-objective optimization problems. - Lourdes Uribe; Adriana Lara; Kalyanmoy Deb; Oliver Schütze 001 (Swarm Evol. Comput., 2021)

Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms, 2 - Oliver Schütze 001; Carlos Hernández 004 (Springer, 2021)

A bounded archive based for bi-objective problems based on distance and e-dominance to avoid cyclic behavior. - Carlos Hernández 004; Oliver Schütze 001 (GECCO, 2022)

Archivers for single- and multi-objective evolutionary optimization algorithms. - Carlos Hernández 004; Oliver Schütze 001 (GECCO Companion, 2022)

Towards fast approximations for the hypervolume indicator for multi-objective optimization problems by Genetic Programming. - Cristian Sandoval; Oliver Cuate; Luis C. González; Leonardo Trujillo; Oliver Schütze 001 (Appl. Soft Comput., 2022)

Experimental Results for the study "The Hypervolume Newton Method for Constrained Multi-Objective Optimization Problems". - Hao Wang 025; Michael Emmerich 001; André H. Deutz; Víctor Adrián Sosa-Hernández; Oliver Schütze 001 (Zenodo, 2023)

The Importance of Diversity in the Variable Space in the Design of Multi-Objective Evolutionary Algorithms. - Carlos Segura; Joel Chacón Castillo; Oliver Schütze 001 (Appl. Soft Comput., 2023)

Hypervolume Gradient Subspace Approximation. - Kenneth Zhang; Angel E. Rodriguez-Fernandez; Ke Shang; Hisao Ishibuchi; Oliver Schütze 001 (PPSN (4), 2024)

A Newton Method for Hausdorff Approximations of the Pareto Front within Multi-objective Evolutionary Algorithms. - Hao Wang 025; Angel E. Rodriguez-Fernandez; Lourdes Uribe; André H. Deutz; Oziel Cortés-Piña; Oliver Schütze 001 (CoRR, 2024)

On the Approximation of the Entire Pareto Front of a Constrained Multi-objective Optimization Problem. - Angel E. Rodriguez-Fernandez; Carlos Ignacio Hernández Castellanos; Oliver Schütze 001 (EMO (2), 2025)

Finding the Set of Nearly Optimal Solutions of a Multiobjective Optimization Problem. - Oliver Schütze 001; Angel E. Rodriguez-Fernandez; Carlos Segura; Carlos Hernández 004 (IEEE Trans. Evol. Comput., 2025)

MMD-Newton Method for Multi-objective Optimization. - Hao Wang 025; Chenyu Shi; Angel E. Rodriguez-Fernandez; Oliver Schütze 001 (CoRR, 2025)