Oliver Schütze

According to our database1, Oliver Schütze authored at least 75 papers between 2003 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
On the efficient computation and use of multi-objective descent directions within constrained MOEAs.
Swarm Evol. Comput., 2020

A benchmark for equality constrained multi-objective optimization.
Swarm Evol. Comput., 2020

2019
Comparison of a genetic programming approach with ANFIS for power amplifier behavioral modeling and FPGA implementation.
Soft Comput., 2019

A neural network-evolutionary computational framework for remaining useful life estimation of mechanical systems.
Neural Networks, 2019

On the choice of neighborhood sampling to build effective search operators for constrained MOPs.
Memetic Computing, 2019

Archivers for the representation of the set of approximate solutions for MOPs.
J. Heuristics, 2019

Automatic Model Selection for Neural Networks.
CoRR, 2019

Enhanced directed search: a continuation method for mixed-integer multi-objective optimization problems.
Annals OR, 2019

Sizing CMOS operational transconductance amplifiers applying NSGA-II and MOEAD.
Proceedings of the 42nd International Convention on Information and Communication Technology, 2019

Toward a New Family of Hybrid Evolutionary Algorithms.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

A New Hybrid Metaheuristic for Equality Constrained Bi-objective Optimization Problems.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

Variation Rate: An Alternative to Maintain Diversity in Decision Space for Multi-objective Evolutionary Algorithms.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

2018
Editorial.
Computación y Sistemas, 2018

The Gradient Subspace Approximation as Local Search Engine within Evolutionary Multi-objective Optimization Algorithms.
Computación y Sistemas, 2018

2017
Gradient subspace approximation: a direct search method for memetic computing.
Soft Comput., 2017

Optimizing the location of ambulances in Tijuana, Mexico.
Comp. in Bio. and Med., 2017

A hybrid evolutionary algorithm and cell mapping method for multi-objective optimization problems.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

An Approach for the Local Exploration of Discrete Many Objective Optimization Problems.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

2016
The hypervolume based directed search method for multi-objective optimization problems.
J. Heuristics, 2016

Including Users Preferences in the Decision Making for Discrete Many Objective Optimization Problems.
Computación y Sistemas, 2016

The directed search method for multi-objective memetic algorithms.
Comp. Opt. and Appl., 2016

Optimal averaged Hausdorff archives for bi-objective problems: theoretical and numerical results.
Comp. Opt. and Appl., 2016

A local exploration tool for linear many objective optimization problems.
Proceedings of the 13th International Conference on Electrical Engineering, 2016

An effective mutation operator to deal with multi-objective constrained problems: SPM.
Proceedings of the 13th International Conference on Electrical Engineering, 2016

Local Search is Underused in Genetic Programming.
Proceedings of the Genetic Programming Theory and Practice XIV, 2016

On the Closest Averaged Hausdorff Archive for a Circularly Convex Pareto Front.
Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016

2015
The Directed Search Method for Unconstrained Parameter Dependent Multi-objective Optimization Problems.
Proceedings of the NEO 2015, 2015

Multi-objective Optimal Design of Nonlinear Controls.
Proceedings of the NEO 2015, 2015

The Ambulance Location Problem in Tijuana, Mexico.
Proceedings of the NEO 2015, 2015

A Local Search Approach to Genetic Programming for Binary Classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

On the Behavior of Stochastic Local Search Within Parameter Dependent MOPs.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

Solving the ambulance location problem in Tijuana-Mexico using a continuous location model.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
An Aspiration Set EMOA Based on Averaged Hausdorff Distances.
Proceedings of the Learning and Intelligent Optimization, 2014

Asymmetric quadratic landscape approximation model.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013
Set Oriented Methods for the Numerical Treatment of Multiobjective Optimization Problems.
Proceedings of the EVOLVE, 2013

On Gradient-Based Local Search to Hybridize Multi-objective Evolutionary Algorithms.
Proceedings of the EVOLVE, 2013

Special issue on evolutionary computing and complex systems.
Soft Comput., 2013

Directed search method for indicator-based multi-objective evolutionary algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Evenly Spaced Pareto Front Approximations for Tricriteria Problems Based on Triangulation.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2013

Evenly spaced Pareto fronts of quad-objective problems using PSA partitioning technique.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
Using the Averaged Hausdorff Distance as a Performance Measure in Evolutionary Multiobjective Optimization.
IEEE Trans. Evolutionary Computation, 2012

Homogene Approximation der Paretofront bei mehrkriteriellen Kontrollproblemen.
Automatisierungstechnik, 2012

Finding Evenly Spaced Pareto Fronts for Three-Objective Optimization Problems.
Proceedings of the EVOLVE, 2012

PSA Based Multi Objective Evolutionary Algorithms.
Proceedings of the EVOLVE, 2012

PSA - A New Scalable Space Partition Based Selection Algorithm for MOEAs.
Proceedings of the EVOLVE, 2012

The Gradient Free Directed Search Method as Local Search within Multi-Objective Evolutionary Algorithms.
Proceedings of the EVOLVE, 2012

2011
On the Influence of the Number of Objectives on the Hardness of a Multiobjective Optimization Problem.
IEEE Trans. Evolutionary Computation, 2011

Computing the Set of Epsilon-Efficient Solutions in Multiobjective Space Mission Design.
JACIC, 2011

Integrated circuit optimization by means of evolutionary multi-objective optimization.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010
HCS: A New Local Search Strategy for Memetic Multiobjective Evolutionary Algorithms.
IEEE Trans. Evolutionary Computation, 2010

Computing Gap Free Pareto Front Approximations with Stochastic Search Algorithms.
Evolutionary Computation, 2010

On the interplay of generator and archiver within archive based multiobjective evolutionary algorithms.
Proceedings of the 7th International Conference on Electrical Engineering, 2010

A predictor corrector method for the computation of boundary points of a multi-objective optimization problem.
Proceedings of the 7th International Conference on Electrical Engineering, 2010

Some comments on GD and IGD and relations to the Hausdorff distance.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

New challenges for memetic algorithms on continuous multi-objective problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Using gradient information for multi-objective problems in the evolutionary context.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Computing approximate solutions of scalar optimization problems and applications in space mission design.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

A painless gradient-assisted multi-objective memetic mechanism for solving continuous bi-objective optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Direct Calibration by Fitting of Cuboids to a Single Image Using Differential Evolution.
International Journal of Computer Vision, 2009

Evolutionary continuation methods for optimization problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Using gradient-based information to deal with scalability in multi-objective evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008
Convergence of stochastic search algorithms to finite size pareto set approximations.
J. Global Optimization, 2008

Computing a Finite Size Representation of the Set of Approximate Solutions of an MOP
CoRR, 2008

Approximate Solutions in Space Mission Design.
Proceedings of the Parallel Problem Solving from Nature, 2008

Approximating the Knee of an MOP with Stochastic Search Algorithms.
Proceedings of the Parallel Problem Solving from Nature, 2008

Computing and Selecting ε-Efficient Solutions of {0, 1}-Knapsack Problems.
Proceedings of the Multiple Criteria Decision Making for Sustainable Energy and Transportation Systems, 2008

A new memetic strategy for the numerical treatment of multi-objective optimization problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Computing finite size representations of the set of approximate solutions of an MOP with stochastic search algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

2007
A Memetic PSO Algorithm for Scalar Optimization Problems.
Proceedings of the 2007 IEEE Swarm Intelligence Symposium, 2007

Approximating the epsilon -Efficient Set of an MOP with Stochastic Search Algorithms.
Proceedings of the MICAI 2007: Advances in Artificial Intelligence, 2007

Convergence of stochastic search algorithms to gap-free pareto front approximations.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

2006
A Multi-objective Approach to the Design of Conducting Polymer Composites for Electromagnetic Shielding.
Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 2006

2005
On Continuation Methods for the Numerical Treatment of Multi-Objective Optimization Problems.
Proceedings of the Practical Approaches to Multi-Objective Optimization, 2005

2003
Covering Pareto Sets by Multilevel Evolutionary Subdivision Techniques.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2003

A New Data Structure for the Nondominance Problem in Multi-objective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2003


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