Ofer M. Shir

88 papers A 17B 7C 2Misc 1Journal 26Unranked 33
YearRankTypeTitle / Venue / Authors
2025 — conf
Correlated Geometric Mutations for Integer Evolution Strategies.
GECCO Companion
Ofer M. Shir, Michael Emmerich
2025 J jnl
Correlated Mutations for Integer Programming.
CoRR
Ofer M. Shir, Michael T. M. Emmerich
2025 A conf
Foundations of Correlated Mutations for Integer Programming.
FOGA
Ofer M. Shir, Michael Emmerich
2025 — conf
Introductory Mathematical Programming for EC.
GECCO Companion
Ofer M. Shir
2025 J jnl
Multiobjective Mixed-Integer Quadratic Models: A Study on Mathematical Programming and Evolutionary Computation.
IEEE Trans. Evol. Comput.
Ofer M. Shir, Michael T. M. Emmerich
2024 J jnl
Addressing Unboundedness in Quadratically-Constrained Mixed-Integer Problems.
CoRR
Guy Zepko, Ofer M. Shir
2024 — conf
Avoiding Redundant Restarts in Multimodal Global Optimization.
PPSN (2)
Jacob de Nobel, Diederick Vermetten, Anna V. Kononova, Ofer M. Shir, Thomas Bäck
2024 J jnl
Avoiding Redundant Restarts in Multimodal Global Optimization.
CoRR
Jacob de Nobel, Diederick Vermetten, Anna V. Kononova, Ofer M. Shir, Thomas Bäck
2023 J jnl
Lessons Learned Report: Super-Resolution for Detection Tasks in Engineering Problem-Solving.
CoRR
Martin Feder, Michal Horovitz, Assaf Chen, Raphael Linker, Ofer M. Shir
2023 — conf
On the Behavior of the Mixed-Integer SMS-EMOA on Box-Constrained Quadratic Bi-Objective Models.
GECCO Companion
Ofer M. Shir, Michael Emmerich
2022 J jnl
Algorithmically-guided discovery of viral epitopes via linguistic parsing: Problem formulation and solving by soft computing.
Appl. Soft Comput.
Ofer M. Shir, Assaf Israeli, Assaf Caftory, Guy Zepko, Itai Bloch
2022 — conf
Algorithmically-guided postharvest protocols by experimental combinatorial optimization.
GECCO Companion
Ofer M. Shir, Boris Yazmir, Assaf Israeli, Dan Gamrasni
2022 — conf
Introductory mathematical programming for EC.
GECCO Companion
Ofer M. Shir
2022 J jnl
Saliency Can Be All You Need In Contrastive Self-Supervised Learning.
CoRR
Veysel Kocaman, Ofer M. Shir, Thomas Bäck, Ahmed Nabil Belbachir
2022 — conf
Saliency Can Be All You Need in Contrastive Self-supervised Learning.
ISVC (2)
Veysel Kocaman, Ofer M. Shir, Thomas Bäck, Ahmed Nabil Belbachir
2022 — conf
Sequential experimentation by evolutionary algorithms.
GECCO Companion
Ofer M. Shir, Thomas Bäck
2022 J jnl
Toward an ImageNet Library of Functions for Global Optimization Benchmarking.
CoRR
Boris Yazmir, Ofer M. Shir
2021 J jnl
Addressing the Multiplicity of Solutions in Optical Lens Design as a Niching Evolutionary Algorithms Computational Challenge.
CoRR
Anna V. Kononova, Ofer M. Shir, Teus Tukker, Pierluigi Frisco, Shutong Zeng, Thomas Bäck
2021 — conf
Addressing the multiplicity of solutions in optical lens design as a niching evolutionary algorithms computational challenge.
GECCO Companion
Anna V. Kononova, Ofer M. Shir, Teus Tukker, Pierluigi Frisco, Shutong Zeng, Thomas Bäck
2021 — conf
Automated feature detection of black-box continuous search-landscapes using neural image recognition.
GECCO Companion
Boris Yazmir, Ofer M. Shir
2021 — conf
Introductory mathematical programming for EC.
GECCO Companion
Ofer M. Shir
2021 J jnl
Multi-level evolution strategies for high-resolution black-box control.
J. Heuristics
Ofer M. Shir, Xi Xing, Herschel Rabitz
2021 — conf
Sequential experimentation by evolutionary algorithms.
GECCO Companion
Ofer M. Shir, Thomas Bäck
2021 — conf
The Unreasonable Effectiveness of the Final Batch Normalization Layer.
ISVC (2)
Veysel Kocaman, Ofer M. Shir, Thomas Bäck
2021 J jnl
The Unreasonable Effectiveness of the Final Batch Normalization Layer.
CoRR
Veysel Kocaman, Ofer M. Shir, Thomas Bäck
2020 — conf
Benchmarking and analyzing iterative optimization heuristics with IOHprofiler.
GECCO Companion
Hao Wang, Carola Doerr, Ofer M. Shir, Thomas Bäck
2020 J jnl
Benchmarking discrete optimization heuristics with IOHprofiler.
Appl. Soft Comput.
Carola Doerr, Furong Ye, Naama Horesh, Hao Wang, Ofer M. Shir, Thomas Bäck
2020 B conf
Improving Model Accuracy for Imbalanced Image Classification Tasks by Adding a Final Batch Normalization Layer: An Empirical Study.
ICPR
Veysel Kocaman, Ofer M. Shir, Thomas Bäck
2020 J jnl
Improving Model Accuracy for Imbalanced Image Classification Tasks by Adding a Final Batch Normalization Layer: An Empirical Study.
CoRR
Veysel Kocaman, Ofer M. Shir, Thomas Bäck
2020 — conf
Introductory mathematical programming for EC.
GECCO Companion
Ofer M. Shir
2020 J jnl
Multi-Level Evolution Strategies for High-Resolution Black-Box Control.
CoRR
Ofer M. Shir, Xi Xing, Herschel Rabitz
2020 J jnl
Novel Remote Sensing Index of Electron Transport Rate Predicts Primary Production and Crop Health in L. sativa and Z. mays.
Remote. Sens.
Oded Liran, Ofer M. Shir, Shai Levy, Ariel Grunfeld, Yuval Shelly
2020 J jnl
On the covariance-Hessian relation in evolution strategies.
Theor. Comput. Sci.
Ofer M. Shir, Amir Yehudayoff
2020 — conf
Sequential experimentation by evolutionary algorithms.
GECCO Companion
Ofer M. Shir, Thomas Bäck
2019 — conf
Bayesian performance analysis for black-box optimization benchmarking.
GECCO (Companion)
Borja Calvo, Ofer M. Shir, Josu Ceberio, Carola Doerr, Hao Wang, Thomas Bäck, José Antonio Lozano
2019 J jnl
Benchmarking Discrete Optimization Heuristics with IOHprofiler.
CoRR
Carola Doerr, Furong Ye, Naama Horesh, Hao Wang, Ofer M. Shir, Thomas Bäck
2019 — conf
Benchmarking discrete optimization heuristics with IOHprofiler.
GECCO (Companion)
Carola Doerr, Furong Ye, Naama Horesh, Hao Wang, Ofer M. Shir, Thomas Bäck
2019 A conf
Predict or screen your expensive assay: DoE vs. surrogates in experimental combinatorial optimization.
GECCO
Naama Horesh, Thomas Bäck, Ofer M. Shir
2019 — conf
Sequential experimentation by evolutionary algorithms.
GECCO (Companion)
Ofer M. Shir, Thomas Bäck
2019 A conf
Statistical learning in soil sampling design aided by pareto optimization.
GECCO
Assaf Israeli, Michael Emmerich, Michael Iggy Litaor, Ofer M. Shir
2018 J jnl
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.
Genet. Program. Evolvable Mach.
Ofer M. Shir
2018 — conf
Compiling a benchmarking test-suite for combinatorial black-box optimization: a position paper.
GECCO (Companion)
Ofer M. Shir, Carola Doerr, Thomas Bäck
2018 — ch.
Evolution Strategies.
Handbook of Heuristics
Michael Emmerich, Ofer M. Shir, Hao Wang
2018 — conf
Introductory mathematical programming for EC.
GECCO (Companion)
Ofer M. Shir
2018 J jnl
On the Covariance-Hessian Relation in Evolution Strategies.
CoRR
Ofer M. Shir, Amir Yehudayoff
2018 — conf
Sequential experimentation by evolutionary algorithms.
GECCO (Companion)
Ofer M. Shir, Thomas Bäck
2018 — conf
Tutorials at PPSN 2018.
PPSN (2)
Gisele Lobo Pappa, Michael T. M. Emmerich, Ana L. C. Bazzan, Will N. Browne, Kalyanmoy Deb, Carola Doerr, Marko Durasevic, Michael G. Epitropakis, Saemundur O. Haraldsson, Domagoj Jakobovic, Pascal Kerschke, Krzysztof Krawiec, Per Kristian Lehre, Xiaodong Li, Andrei Lissovoi, Pekka Malo, Luis Martí, Yi Mei, Juan Julián Merelo Guervós, Julian F. Miller, Alberto Moraglio, Antonio J. Nebro, Su Nguyen, Gabriela Ochoa, Pietro S. Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Marc Schoenauer, Roman Senkerik, Ankur Sinha, Ofer M. Shir, Dirk Sudholt, L. Darrell Whitley, Mark Wineberg, John R. Woodward, Mengjie Zhang
2017 A conf
On the Statistical Learning Ability of Evolution Strategies.
FOGA
Ofer M. Shir, Amir Yehudayoff
2017 A conf
Protein design by multiobjective optimization: evolutionary and non-evolutionary approaches.
GECCO
Sandeep V. Belure, Ofer M. Shir, Vikas Nanda
2017 — conf
Sequential experimentation by evolutionary algorithms.
GECCO (Companion)
Ofer M. Shir, Thomas Bäck, Joshua D. Knowles, Richard Allmendinger
2017 A conf
Solving structures of pigment-protein complexes as inverse optimization problems using decomposition.
GECCO
Yigal Lahav, Ofer M. Shir, Dror Noy
2016 — conf
Multilevel Evolution Strategies for Multigrid Problems.
GECCO (Companion)
Ofer M. Shir
2016 — conf
On the Capacity of Evolution Strategies to Statistically Learn the Landscape.
GECCO (Companion)
Ofer M. Shir, Jonathan Roslund, Amir Yehudayoff
2016 J jnl
On the Theoretical Capacity of Evolution Strategies to Statistically Learn the Landscape Hessian.
CoRR
Ofer M. Shir, Jonathan Roslund, Amir Yehudayoff
2013 Misc conf
Pareto optimization and tradeoff analysis applied to meta-learning of multiple simulation criteria.
WSC
Ofer M. Shir, Shahar Chen, David Amid, David Boaz, Ateret Anaby-Tavor, Dmitry Moor
2013 B conf
Self-organizing maps for multi-objective pareto frontiers.
PacificVis
Shahar Chen, David Amid, Ofer M. Shir, Lior Limonad, David Boaz, Ateret Anaby-Tavor, Tobias Schreck
2012 — conf
Algorithms for Finding Maximum Diversity of Design Variables in Multi-Objective Optimization.
CSER
Alexander Zadorojniy, Michael Masin, Lev Greenberg, Ofer M. Shir, Lawrence Zeidner
2012 — ch.
Niching in Evolutionary Algorithms.
Handbook of Natural Computing
Ofer M. Shir
2012 J jnl
Quantum control experiments as a testbed for evolutionary multi-objective algorithms.
Genet. Program. Evolvable Mach.
Ofer M. Shir, Jonathan Roslund, Zaki Leghtas, Herschel Rabitz
2011 J jnl
Evolutionary Hessian Learning: Forced Optimal Covariance Adaptive Learning (FOCAL)
CoRR
Ofer M. Shir, Jonathan Roslund, L. Darrell Whitley, Herschel Rabitz
2011 J jnl
Quantum Control Experiments as a Testbed for Evolutionary Multi-Objective Algorithms
CoRR
Ofer M. Shir, Jonathan Roslund, Zaki Leghtas, Herschel Rabitz
2010 J jnl
Adaptive Niche Radii and Niche Shapes Approaches for Niching with the CMA-ES.
Evol. Comput.
Ofer M. Shir, Michael Emmerich, Thomas Bäck
2010 — conf
Experimental optimization by evolutionary algorithms.
GECCO (Companion)
Thomas Bäck, Joshua D. Knowles, Ofer M. Shir
2010 A conf
Forced optimal covariance adaptive learning: modified CMA-ES for efficient hessian determination.
GECCO
Ofer M. Shir, Jonathan Roslund, Herschel Rabitz
2009 C conf
Enhancing Decision Space Diversity in Evolutionary Multiobjective Algorithms.
EMO
Ofer M. Shir, Mike Preuss, Boris Naujoks, Michael T. M. Emmerich
2009 A conf
Evolutionary multi-objective quantum control experiments with the covariance matrix adaptation.
GECCO
Ofer M. Shir, Jonathan Roslund, Herschel Rabitz
2009 — conf
Niching Methods: Speciation Theory Applied for Multi-modal Function Optimization.
Algorithmic Bioprocesses
Ofer M. Shir, Thomas Bäck
2009 J jnl
Niching with derandomized evolution strategies in artificial and real-world landscapes.
Nat. Comput.
Ofer M. Shir, Thomas Bäck
2008 — conf
A Reduced-Cost SMS-EMOA Using Kriging, Self-Adaptation, and Parallelization.
MCDM
Jan Willem Klinkenberg, Michael T. M. Emmerich, André H. Deutz, Ofer M. Shir, Thomas Bäck
2008 J jnl
Evolutionary algorithms for real world applications [Application Notes].
IEEE Comput. Intell. Mag.
Thomas Bäck, Michael Emmerich, Ofer M. Shir
2008 A conf
Mixed-Integer Evolution Strategies with Dynamic Niching.
PPSN
Rui Li, Jeroen Eggermont, Ofer M. Shir, Michael T. M. Emmerich, Thomas Bäck, Jouke Dijkstra, Johan H. C. Reiber
2008 A conf
Niche Radius Adaptation with Asymmetric Sharing.
PPSN
Vincent van der Goes, Ofer M. Shir, Thomas Bäck
2008 B conf
On the evolution of laser pulses under a dynamic Quantum Control environment.
IEEE Congress on Evolutionary Computation
Ofer M. Shir, Thomas Bäck, Herschel Rabitz, Marc J. J. Vrakking
2008 A conf
Performance analysis of derandomized evolution strategies in quantum control experiments.
GECCO
Ofer M. Shir, Jonathan Roslund, Thomas Bäck, Herschel Rabitz
2007 — conf
Classification of Cell Fates with Support Vector Machine Learning.
EvoBIO
Ofer M. Shir, Vered Raz, Roeland W. Dirks, Thomas Bäck
2007 — conf
Gaining Insights into Laser Pulse Shaping by Evolution Strategies.
IWINAC (1)
Ofer M. Shir, Joost N. Kok, Thomas Bäck, Marc J. J. Vrakking
2007 A conf
On the scalability of evolution strategies in the optimization of dynamic molecular alignment.
GECCO
Ofer M. Shir, Thomas Bäck, Marc J. J. Vrakking
2007 A conf
Performance analysis of niching algorithms based on derandomized-ES variants.
GECCO
Ofer M. Shir, Thomas Bäck
2007 B conf
Self-Adaptive Niching CMA-ES with Mahalanobis Metric.
IEEE Congress on Evolutionary Computation
Ofer M. Shir, Michael Emmerich, Thomas Bäck
2007 B conf
The application of evolutionary multi-criteria optimization to dynamic molecular alignment.
IEEE Congress on Evolutionary Computation
Ofer M. Shir, Michael Emmerich, Thomas Bäck, Marc J. J. Vrakking
2007 A conf
The second harmonic generation case-study as a gateway for es to quantum control problems.
GECCO
Ofer M. Shir, Thomas Bäck
2006 B conf
Evolutionary Algorithms in the Optimization of Dynamic Molecular Alignment.
IEEE Congress on Evolutionary Computation
Ofer M. Shir, Christian Siedschlag, Thomas Bäck, Marc J. J. Vrakking
2006 C conf
Learning the Complete-Basis-Functions Parameterization for the Optimization of Dynamic Molecular Alignment by ES.
IDEAL
Ofer M. Shir, Joost N. Kok, Thomas Bäck, Marc J. J. Vrakking
2006 A conf
Niche Radius Adaptation in the CMA-ES Niching Algorithm.
PPSN
Ofer M. Shir, Thomas Bäck
2006 A conf
The complete-basis-functions parameterization in ES and its application to laser pulse shaping.
GECCO
Ofer M. Shir, Christian Siedschlag, Thomas Bäck, Marc J. J. Vrakking
2005 B conf
Dynamic niching in evolution strategies with covariance matrix adaptation.
Congress on Evolutionary Computation
Ofer M. Shir, Thomas Bäck
2005 — conf
Niching in Evolution Strategies and Its Application to Laser Pulse Shaping.
Artificial Evolution
Ofer M. Shir, Christian Siedschlag, Thomas Bäck, Marc J. J. Vrakking
2005 A conf
Niching in evolution strategies.
GECCO
Ofer M. Shir, Thomas Bäck