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ORCIDOliver Schütze 0001
Oliver Schuetze 0001
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- affiliation: CINVESTAV-IPN, México
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2020 – today
- 2024
[c50]Kenneth Zhang
, Angel E. Rodriguez-Fernandez, Ke Shang, Hisao Ishibuchi, Oliver Schütze:
Hypervolume Gradient Subspace Approximation. PPSN (4) 2024: 20-35- [i5]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 abs/2405.05721 (2024) - 2023
- [j32]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: 110069 (2023) - [d1]Hao Wang, Michael Emmerich, André H. Deutz, Víctor Adrián Sosa-Hernández, Oliver Schütze:
Experimental Results for the study "The Hypervolume Newton Method for Constrained Multi-Objective Optimization Problems". Zenodo, 2023
- 2022
- [j31]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: 109103 (2022) - [c49]Carlos Hernández, Oliver Schütze:
Archivers for single- and multi-objective evolutionary optimization algorithms. GECCO Companion 2022: 37-38 - [c48]Carlos Hernández, Oliver Schütze:
A bounded archive based for bi-objective problems based on distance and e-dominance to avoid cyclic behavior. GECCO 2022: 583-591 - 2021
- [b1]Oliver Schütze, Carlos Hernández:
Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms, 2. Studies in Computational Intelligence 938, Springer 2021, ISBN 978-3-030-63772-9, pp. 1-197 - [j30]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: 100938 (2021) - 2020
- [j29]Oliver Cuate, Oliver Schütze:
Pareto Explorer for Solving Real World Applications. Res. Comput. Sci. 149(3): 29-36 (2020) - [j28]Oliver Cuate, Lourdes Uribe, Adriana Lara, Oliver Schütze:
A benchmark for equality constrained multi-objective optimization. Swarm Evol. Comput. 52 (2020) - [j27]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) - [j26]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: 100643 (2020) - [j25]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): 2186-2196 (2020) - [c47]Lourdes Uribe, Adriana Lara, Kalyanmoy Deb, Oliver Schütze:
Using gradient-free local search within MOEAs for the treatment of constrained MOPs. GECCO Companion 2020: 177-178
2010 – 2019
- 2019
- [j24]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): 343-365 (2019) - [j23]Oliver Schuetze, Carlos Hernández, El-Ghazali Talbi, Jian-Qiao Sun, Yousef Naranjani, Fu-Rui Xiong:
Archivers for the representation of the set of approximate solutions for MOPs. J. Heuristics 25(1): 71-105 (2019) - [j22]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): 155-173 (2019) - [j21]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: 178-187 (2019) - [j20]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): 2463-2481 (2019) - [c46]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: 53-65 - [c45]Lourdes Uribe, Oliver Schütze, Adriana Lara:
Toward a New Family of Hybrid Evolutionary Algorithms. EMO 2019: 78-90 - [c44]Oliver Cuate, Oliver Schütze:
Variation Rate: An Alternative to Maintain Diversity in Decision Space for Multi-objective Evolutionary Algorithms. EMO 2019: 203-215 - [c43]Oliver Cuate, Oliver Schuetze, Francesco Grasso, Esteban Tlelo-Cuautle:
Sizing CMOS operational transconductance amplifiers applying NSGA-II and MOEAD. MIPRO 2019: 149-152 - [i4]David Laredo, Zhaoyin Chen, Oliver Schütze, Jian-Qiao Sun:
A Neural Network-Evolutionary Computational Framework for Remaining Useful Life Estimation of Mechanical Systems. CoRR abs/1905.05918 (2019) - [i3]David Laredo, Yulin Qin, Oliver Schütze, Jian-Qiao Sun:
Automatic Model Selection for Neural Networks. CoRR abs/1905.06010 (2019) - 2018
- [j19]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) - [j18]Leonardo Trujillo, Yazmín Maldonado, Oliver Schuetze:
Editorial. Computación y Sistemas 22(2) (2018) - 2017
- [j17]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: 107-115 (2017) - [j16]Oliver Schütze, Sergio Alvarado, Carlos Segura, Ricardo Landa:
Gradient subspace approximation: a direct search method for memetic computing. Soft Comput. 21(21): 6331-6350 (2017) - [c42]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: 135-150 - [c41]Jian-Qiao Sun, Oliver Schütze:
A hybrid evolutionary algorithm and cell mapping method for multi-objective optimization problems. SSCI 2017: 1-9 - [e5]Heike Trautmann, Günter Rudolph, Kathrin Klamroth, Oliver Schütze, Margaret M. Wiecek, Yaochu Jin, Christian Grimme:
Evolutionary Multi-Criterion Optimization - 9th International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings. Lecture Notes in Computer Science 10173, Springer 2017, ISBN 978-3-319-54156-3 [contents] - [e4]Oliver Schütze, Leonardo Trujillo, Pierrick Legrand, Yazmín Maldonado:
NEO 2015 - Results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at September 23-25 2015 in Tijuana, Mexico. Studies in Computational Intelligence 663, Springer 2017, ISBN 978-3-319-44002-6 [contents] - 2016
- [j15]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: 23-37 (2016) - [j14]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): 305-332 (2016) - [j13]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): 589-618 (2016) - [j12]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) - [j11]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): 273-300 (2016) - [c40]Günter Rudolph, Oliver Schütze, Heike Trautmann:
On the Closest Averaged Hausdorff Archive for a Circularly Convex Pareto Front. EvoApplications (2) 2016: 42-55 - [c39]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: 119-137 - [c38]Sergio Alvarado, Adriana Lara, Víctor Adrián Sosa-Hernández, Oliver Schütze:
An effective mutation operator to deal with multi-objective constrained problems: SPM. CCE 2016: 1-6 - [c37]Oliver Cuate, Adriana Lara, Oliver Schütze:
A local exploration tool for linear many objective optimization problems. CCE 2016: 1-6 - 2015
- [c36]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: 2631-2638 - [c35]Víctor Adrián Sosa-Hernández, Oliver Schütze, Heike Trautmann, Günter Rudolph:
On the Behavior of Stochastic Local Search Within Parameter Dependent MOPs. EMO (2) 2015: 126-140 - [c34]Emigdio Z.-Flores, Leonardo Trujillo, Oliver Schütze, Pierrick Legrand:
A Local Search Approach to Genetic Programming for Binary Classification. GECCO 2015: 1151-1158 - [c33]Zhi-Chang Qin, Fu-Rui Xiong, Yousef Sardahi, Yousef Naranjani, Oliver Schütze, Jian-Qiao Sun:
Multi-objective Optimal Design of Nonlinear Controls. NEO 2015: 205-222 - [c32]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: 281-330 - [c31]Juan Carlos Dibene, Yazmín Maldonado, Carlos Vera, Leonardo Trujillo, Maurício C. de Oliveira, Oliver Schütze:
The Ambulance Location Problem in Tijuana, Mexico. NEO 2015: 409-441 - 2014
- [j10]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): 1465-1473 (2014) - [c30]Alexandru-Adrian Tantar, Emilia Tantar, Oliver Schütze:
Asymmetric quadratic landscape approximation model. GECCO 2014: 493-500 - [c29]Günter Rudolph, Oliver Schütze, Christian Grimme, Heike Trautmann:
An Aspiration Set EMOA Based on Averaged Hausdorff Distances. LION 2014: 153-156 - [e3]Oliver Schuetze, Carlos A. Coello Coello, Alexandru-Adrian Tantar, Emilia Tantar, Pascal Bouvry, Pierre Del Moral, Pierrick Legrand:
EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation III [EVOLVE 2012, Mexico City, Mexico, August 7-9, 2012, selection of extended papers]. Studies in Computational Intelligence 500, Springer 2014, ISBN 978-3-319-01459-3 [contents] - 2013
- [j9]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): 909-912 (2013) - [c28]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: 3190-3197 - [c27]Günter Rudolph, Heike Trautmann, Soumyadip Sengupta, Oliver Schütze:
Evenly Spaced Pareto Front Approximations for Tricriteria Problems Based on Triangulation. EMO 2013: 443-458 - [c26]Víctor Adrián Sosa-Hernández, Oliver Schütze, Günter Rudolph, Heike Trautmann:
Directed search method for indicator-based multi-objective evolutionary algorithms. GECCO (Companion) 2013: 1699-1702 - [p2]Oliver Schütze, Katrin Witting, Sina Ober-Blöbaum, Michael Dellnitz:
Set Oriented Methods for the Numerical Treatment of Multiobjective Optimization Problems. EVOLVE 2013: 187-219 - [p1]Adriana Lara, Oliver Schütze, Carlos A. Coello Coello:
On Gradient-Based Local Search to Hybridize Multi-objective Evolutionary Algorithms. EVOLVE 2013: 305-332 - [e2]Oliver Schütze, Carlos A. Coello Coello, Alexandru-Adrian Tantar, Emilia Tantar, Pascal Bouvry, Pierre Del Moral, Pierrick Legrand:
EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II, EVOLVE 2012, Mexico City, Mexico, August 7-9, 2012, Proceedings. Advances in Intelligent Systems and Computing 175, Springer 2013, ISBN 978-3-642-31518-3 [contents] - [e1]Emilia Tantar, Alexandru-Adrian Tantar, Pascal Bouvry, Pierre Del Moral, Pierrick Legrand, Carlos A. Coello Coello, Oliver Schütze:
EVOLVE - A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation. Studies in Computational Intelligence 447, Springer 2013, ISBN 978-3-642-32725-4 [contents] - 2012
- [j8]Günter Rudolph, Heike Trautmann, Oliver Schütze:
Homogene Approximation der Paretofront bei mehrkriteriellen Kontrollproblemen. Autom. 60(10): 612-621 (2012) - [j7]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): 504-522 (2012) - [c25]Heike Trautmann, Günter Rudolph, Christian Domínguez-Medina, Oliver Schütze:
Finding Evenly Spaced Pareto Fronts for Three-Objective Optimization Problems. EVOLVE 2012: 89-105 - [c24]Shaul Salomon, Gideon Avigad, Alex Goldvard, Oliver Schütze:
PSA - A New Scalable Space Partition Based Selection Algorithm for MOEAs. EVOLVE 2012: 137-151 - [c23]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: 153-168 - [c22]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: 233-259 - 2011
- [j6]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): 53-70 (2011) - [j5]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): 444-455 (2011) - [c21]Matthias W. Blesken, Anouar Chebil, Ulrich Rückert, Xavier Esquivel, Oliver Schütze:
Integrated circuit optimization by means of evolutionary multi-objective optimization. GECCO 2011: 807-812 - 2010
- [j4]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): 65-96 (2010) - [j3]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): 112-132 (2010) - [c20]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: 1-8 - [c19]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: 1-8 - [c18]Adriana Lara, Oliver Schütze, Carlos A. Coello Coello:
New challenges for memetic algorithms on continuous multi-objective problems. GECCO (Companion) 2010: 1967-1970 - [c17]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: 1971-1974 - [c16]Adriana Lara, Carlos A. Coello Coello, Oliver Schütze:
Using gradient information for multi-objective problems in the evolutionary context. GECCO (Companion) 2010: 2011-2014 - [c15]Xavicr Esquivel Sanchez, Oliver Schütze:
On the interplay of generator and archiver within archive based multiobjective evolutionary algorithms. CCE 2010: 375-380 - [c14]Erick Mejía, Oliver Schütze:
A predictor corrector method for the computation of boundary points of a multi-objective optimization problem. CCE 2010: 395-399
2000 – 2009
- 2009
- [j2]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): 119-127 (2009) - [c13]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: 16-23 - [c12]Oliver Schütze, Adriana Lara, Carlos A. Coello Coello:
Evolutionary continuation methods for optimization problems. GECCO 2009: 651-658 - 2008
- [j1]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): 559-577 (2008) - [c11]Oliver Schütze, Gustavo Sanchez, Carlos A. Coello Coello:
A new memetic strategy for the numerical treatment of multi-objective optimization problems. GECCO 2008: 705-712 - [c10]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: 713-720 - [c9]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: 379-389 - [c8]Oliver Schütze, Marco Laumanns, Carlos A. Coello Coello:
Approximating the Knee of an MOP with Stochastic Search Algorithms. PPSN 2008: 795-804 - [c7]Oliver Schütze, Massimiliano Vasile, Carlos A. Coello Coello:
Approximate Solutions in Space Mission Design. PPSN 2008: 805-814 - [i2]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 abs/0804.0581 (2008) - 2007
- [c6]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 2007: 590-603 - [c5]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: 892-901 - [c4]Oliver Schütze, Carlos A. Coello Coello, El-Ghazali Talbi:
Approximating the epsilon -Efficient Set of an MOP with Stochastic Search Algorithms. MICAI 2007: 128-138 - [c3]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: 128-134 - 2005
- [i1]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 - 2003
- [c2]Oliver Schütze, Sanaz Mostaghim, Michael Dellnitz, Jürgen Teich:
Covering Pareto Sets by Multilevel Evolutionary Subdivision Techniques. EMO 2003: 118-132 - [c1]Oliver Schütze:
A New Data Structure for the Nondominance Problem in Multi-objective Optimization. EMO 2003: 509-518
Coauthor Index
Adriana Lara
aka: Adriana Lara Lopez
aka: Adriana Lara Lopez
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