Ofer M. Shir

According to our database1, Ofer M. Shir authored at least 51 papers between 2005 and 2019.

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Bibliography

2019
Statistical learning in soil sampling design aided by pareto optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Predict or screen your expensive assay: DoE vs. surrogates in experimental combinatorial optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Benchmarking discrete optimization heuristics with IOHprofiler.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Bayesian performance analysis for black-box optimization benchmarking.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018
Evolution Strategies.
Proceedings of the Handbook of Heuristics., 2018

Christian Blum and Günther R. Raidl: Hybrid metaheuristics - powerful tools for optimization - Springer International Publishing, Switzerland, 2016, 157 pp, ISBN: 978-3-319-30882-1.
Genetic Programming and Evolvable Machines, 2018

On the Covariance-Hessian Relation in Evolution Strategies.
CoRR, 2018


Compiling a benchmarking test-suite for combinatorial black-box optimization: a position paper.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Sequential experimentation by evolutionary algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Introductory mathematical programming for EC.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

2017
Sequential experimentation by evolutionary algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Solving structures of pigment-protein complexes as inverse optimization problems using decomposition.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Protein design by multiobjective optimization: evolutionary and non-evolutionary approaches.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

On the Statistical Learning Ability of Evolution Strategies.
Proceedings of the 14th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2017

2016
On the Theoretical Capacity of Evolution Strategies to Statistically Learn the Landscape Hessian.
CoRR, 2016

On the Capacity of Evolution Strategies to Statistically Learn the Landscape.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Multilevel Evolution Strategies for Multigrid Problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

2013
Pareto optimization and tradeoff analysis applied to meta-learning of multiple simulation criteria.
Proceedings of the Winter Simulations Conference: Simulation Making Decisions in a Complex World, 2013

Self-organizing maps for multi-objective pareto frontiers.
Proceedings of the IEEE Pacific Visualization Symposium, 2013

2012
Niching in Evolutionary Algorithms.
Proceedings of the Handbook of Natural Computing, 2012

Algorithms for Finding Maximum Diversity of Design Variables in Multi-Objective Optimization.
Proceedings of the Conference on Systems Engineering Research, 2012

Quantum control experiments as a testbed for evolutionary multi-objective algorithms.
Genetic Programming and Evolvable Machines, 2012

2011
Quantum Control Experiments as a Testbed for Evolutionary Multi-Objective Algorithms
CoRR, 2011

Evolutionary Hessian Learning: Forced Optimal Covariance Adaptive Learning (FOCAL)
CoRR, 2011

2010
Adaptive Niche Radii and Niche Shapes Approaches for Niching with the CMA-ES.
Evolutionary Computation, 2010

Forced optimal covariance adaptive learning: modified CMA-ES for efficient hessian determination.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Experimental optimization by evolutionary algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

2009
Niching with derandomized evolution strategies in artificial and real-world landscapes.
Natural Computing, 2009

Evolutionary multi-objective quantum control experiments with the covariance matrix adaptation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Enhancing Decision Space Diversity in Evolutionary Multiobjective Algorithms.
Proceedings of the Evolutionary Multi-Criterion Optimization, 5th International Conference, 2009

Niching Methods: Speciation Theory Applied for Multi-modal Function Optimization.
Proceedings of the Algorithmic Bioprocesses, 2009

2008
Mixed-Integer Evolution Strategies with Dynamic Niching.
Proceedings of the Parallel Problem Solving from Nature, 2008

Niche Radius Adaptation with Asymmetric Sharing.
Proceedings of the Parallel Problem Solving from Nature, 2008

A Reduced-Cost SMS-EMOA Using Kriging, Self-Adaptation, and Parallelization.
Proceedings of the Multiple Criteria Decision Making for Sustainable Energy and Transportation Systems, 2008

Performance analysis of derandomized evolution strategies in quantum control experiments.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

On the evolution of laser pulses under a dynamic Quantum Control environment.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
Gaining Insights into Laser Pulse Shaping by Evolution Strategies.
Proceedings of the Bio-inspired Modeling of Cognitive Tasks, 2007

On the scalability of evolution strategies in the optimization of dynamic molecular alignment.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

The second harmonic generation case-study as a gateway for es to quantum control problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Performance analysis of niching algorithms based on derandomized-ES variants.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Classification of Cell Fates with Support Vector Machine Learning.
Proceedings of the Evolutionary Computation, 2007

The application of evolutionary multi-criteria optimization to dynamic molecular alignment.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Self-Adaptive Niching CMA-ES with Mahalanobis Metric.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Niche Radius Adaptation in the CMA-ES Niching Algorithm.
Proceedings of the Parallel Problem Solving from Nature, 2006

Learning the Complete-Basis-Functions Parameterization for the Optimization of Dynamic Molecular Alignment by ES.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

The complete-basis-functions parameterization in ES and its application to laser pulse shaping.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Evolutionary Algorithms in the Optimization of Dynamic Molecular Alignment.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
Niching in evolution strategies.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Dynamic niching in evolution strategies with covariance matrix adaptation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Niching in Evolution Strategies and Its Application to Laser Pulse Shaping.
Proceedings of the Artificial Evolution, 2005


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