Ofer M. Shir

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 47

Top Topics

Combinatorial Optimization

Statistical Learning

Image Recognition

Top Venues

GECCO Companion

GECCO (Companion)

Publications

Jacob de Nobel, Diederick Vermetten, Anna V. Kononova, Ofer M. Shir, Thomas Bäck
Avoiding Redundant Restarts in Multimodal Global Optimization. CoRR (2024)
Guy Zepko, Ofer M. Shir
Addressing Unboundedness in Quadratically-Constrained Mixed-Integer Problems. CoRR (2024)
Martin Feder, Michal Horovitz, Assaf Chen, Raphael Linker, Ofer M. Shir
Lessons Learned Report: Super-Resolution for Detection Tasks in Engineering Problem-Solving. CoRR (2023)
Ofer M. Shir, Michael Emmerich
On the Behavior of the Mixed-Integer SMS-EMOA on Box-Constrained Quadratic Bi-Objective Models. GECCO Companion (2023)
Boris Yazmir, Ofer M. Shir
Toward an ImageNet Library of Functions for Global Optimization Benchmarking. CoRR (2022)
Ofer M. Shir, Assaf Israeli, Assaf Caftory, Guy Zepko, Itai Bloch
Algorithmically-guided discovery of viral epitopes via linguistic parsing: Problem formulation and solving by soft computing. Appl. Soft Comput. 129 (2022)
Ofer M. Shir, Boris Yazmir, Assaf Israeli, Dan Gamrasni
Algorithmically-guided postharvest protocols by experimental combinatorial optimization. GECCO Companion (2022)
Ofer M. Shir, Thomas Bäck
Sequential experimentation by evolutionary algorithms. GECCO Companion (2022)
Veysel Kocaman, Ofer M. Shir, Thomas Bäck, Ahmed Nabil Belbachir
Saliency Can Be All You Need In Contrastive Self-Supervised Learning. CoRR (2022)
Ofer M. Shir
Introductory mathematical programming for EC. GECCO Companion (2022)
Veysel Kocaman, Ofer M. Shir, Thomas Bäck, Ahmed Nabil Belbachir
Saliency Can Be All You Need in Contrastive Self-supervised Learning. ISVC (2) (2022)
Anna V. Kononova, Ofer M. Shir, Teus Tukker, Pierluigi Frisco, Shutong Zeng, Thomas Bäck
Addressing the Multiplicity of Solutions in Optical Lens Design as a Niching Evolutionary Algorithms Computational Challenge. CoRR (2021)
Boris Yazmir, Ofer M. Shir
Automated feature detection of black-box continuous search-landscapes using neural image recognition. GECCO Companion (2021)
Ofer M. Shir, Xi Xing, Herschel Rabitz
Multi-level evolution strategies for high-resolution black-box control. J. Heuristics 27 (6) (2021)
Veysel Kocaman, Ofer M. Shir, Thomas Bäck
The Unreasonable Effectiveness of the Final Batch Normalization Layer. CoRR (2021)
Ofer M. Shir, Thomas Bäck
Sequential experimentation by evolutionary algorithms. GECCO Companion (2021)
Ofer M. Shir
Introductory mathematical programming for EC. GECCO Companion (2021)
Anna V. Kononova, Ofer M. Shir, Teus Tukker, Pierluigi Frisco, Shutong Zeng, Thomas Bäck
Addressing the multiplicity of solutions in optical lens design as a niching evolutionary algorithms computational challenge. GECCO Companion (2021)
Veysel Kocaman, Ofer M. Shir, Thomas Bäck
The Unreasonable Effectiveness of the Final Batch Normalization Layer. ISVC (2) (2021)
Ofer M. Shir
Introductory mathematical programming for EC. GECCO Companion (2020)
Veysel Kocaman, Ofer M. Shir, Thomas Bäck
Improving Model Accuracy for Imbalanced Image Classification Tasks by Adding a Final Batch Normalization Layer: An Empirical Study. ICPR (2020)
Ofer M. Shir, Xi Xing, Herschel Rabitz
Multi-Level Evolution Strategies for High-Resolution Black-Box Control. CoRR (2020)
Ofer M. Shir, Thomas Bäck
Sequential experimentation by evolutionary algorithms. GECCO Companion (2020)
Hao Wang, Carola Doerr, Ofer M. Shir, Thomas Bäck
Benchmarking and analyzing iterative optimization heuristics with IOHprofiler. GECCO Companion (2020)
Veysel Kocaman, Ofer M. Shir, Thomas Bäck
Improving Model Accuracy for Imbalanced Image Classification Tasks by Adding a Final Batch Normalization Layer: An Empirical Study. CoRR (2020)
Ofer M. Shir, Amir Yehudayoff
On the covariance-Hessian relation in evolution strategies. Theor. Comput. Sci. 801 (2020)
Oded Liran, Ofer M. Shir, Shai Levy, Ariel Grunfeld, Yuval Shelly
Novel Remote Sensing Index of Electron Transport Rate Predicts Primary Production and Crop Health in L. sativa and Z. mays. Remote. Sens. 12 (11) (2020)
Carola Doerr, Furong Ye, Naama Horesh, Hao Wang, Ofer M. Shir, Thomas Bäck
Benchmarking discrete optimization heuristics with IOHprofiler. Appl. Soft Comput. 88 (2020)
Ofer M. Shir, Thomas Bäck
Sequential experimentation by evolutionary algorithms. GECCO (Companion) (2019)
Assaf Israeli, Michael Emmerich, Michael (Iggy) Litaor, Ofer M. Shir
Statistical learning in soil sampling design aided by pareto optimization. GECCO (2019)
Carola Doerr, Furong Ye, Naama Horesh, Hao Wang, Ofer M. Shir, Thomas Bäck
Benchmarking Discrete Optimization Heuristics with IOHprofiler. CoRR (2019)
Carola Doerr, Furong Ye, Naama Horesh, Hao Wang, Ofer M. Shir, Thomas Bäck
Benchmarking discrete optimization heuristics with IOHprofiler. GECCO (Companion) (2019)
Naama Horesh, Thomas Bäck, Ofer M. Shir
Predict or screen your expensive assay: DoE vs. surrogates in experimental combinatorial optimization. GECCO (2019)
Borja Calvo, Ofer M. Shir, Josu Ceberio, Carola Doerr, Hao Wang, Thomas Bäck, José Antonio Lozano
Bayesian performance analysis for black-box optimization benchmarking. GECCO (Companion) (2019)
Ofer M. Shir, Amir Yehudayoff
On the Covariance-Hessian Relation in Evolution Strategies. CoRR (2018)
Ofer M. Shir
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. 19 (1-2) (2018)
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
Tutorials at PPSN 2018. PPSN (2) (2018)
Ofer M. Shir
Introductory mathematical programming for EC. GECCO (Companion) (2018)
Ofer M. Shir, Thomas Bäck
Sequential experimentation by evolutionary algorithms. GECCO (Companion) (2018)
Ofer M. Shir, Carola Doerr, Thomas Bäck
Compiling a benchmarking test-suite for combinatorial black-box optimization: a position paper. GECCO (Companion) (2018)
Ofer M. Shir, Thomas Bäck, Joshua D. Knowles, Richard Allmendinger
Sequential experimentation by evolutionary algorithms. GECCO (Companion) (2017)
Ofer M. Shir, Amir Yehudayoff
On the Statistical Learning Ability of Evolution Strategies. FOGA (2017)
Yigal Lahav, Ofer M. Shir, Dror Noy
Solving structures of pigment-protein complexes as inverse optimization problems using decomposition. GECCO (2017)
Sandeep V. Belure, Ofer M. Shir, Vikas Nanda
Protein design by multiobjective optimization: evolutionary and non-evolutionary approaches. GECCO (2017)
Ofer M. Shir, Jonathan Roslund, Amir Yehudayoff
On the Theoretical Capacity of Evolution Strategies to Statistically Learn the Landscape Hessian. CoRR (2016)
Ofer M. Shir, Jonathan Roslund, Amir Yehudayoff
On the Capacity of Evolution Strategies to Statistically Learn the Landscape. GECCO (Companion) (2016)
Ofer M. Shir
Multilevel Evolution Strategies for Multigrid Problems. GECCO (Companion) (2016)
Shahar Chen, David Amid, Ofer M. Shir, Lior Limonad, David Boaz, Ateret Anaby-Tavor, Tobias Schreck
Self-organizing maps for multi-objective pareto frontiers. PacificVis (2013)
Ofer M. Shir, Shahar Chen, David Amid, David Boaz, Ateret Anaby-Tavor, Dmitry Moor
Pareto optimization and tradeoff analysis applied to meta-learning of multiple simulation criteria. WSC (2013)
Alexander Zadorojniy, Michael Masin, Lev Greenberg, Ofer M. Shir, Lawrence Zeidner
Algorithms for Finding Maximum Diversity of Design Variables in Multi-Objective Optimization. CSER (2012)
Ofer M. Shir, Jonathan Roslund, Zaki Leghtas, Herschel Rabitz
Quantum control experiments as a testbed for evolutionary multi-objective algorithms. Genet. Program. Evolvable Mach. 13 (4) (2012)
Ofer M. Shir, Jonathan Roslund, Zaki Leghtas, Herschel Rabitz
Quantum Control Experiments as a Testbed for Evolutionary Multi-Objective Algorithms CoRR (2011)
Ofer M. Shir, Jonathan Roslund, L. Darrell Whitley, Herschel Rabitz
Evolutionary Hessian Learning: Forced Optimal Covariance Adaptive Learning (FOCAL) CoRR (2011)
Thomas Bäck, Joshua D. Knowles, Ofer M. Shir
Experimental optimization by evolutionary algorithms. GECCO (Companion) (2010)
Ofer M. Shir, Jonathan Roslund, Herschel Rabitz
Forced optimal covariance adaptive learning: modified CMA-ES for efficient hessian determination. GECCO (2010)
Ofer M. Shir, Michael Emmerich, Thomas Bäck
Adaptive Niche Radii and Niche Shapes Approaches for Niching with the CMA-ES. Evol. Comput. 18 (1) (2010)
Ofer M. Shir, Mike Preuss, Boris Naujoks, Michael T. M. Emmerich
Enhancing Decision Space Diversity in Evolutionary Multiobjective Algorithms. EMO (2009)
Ofer M. Shir, Thomas Bäck
Niching Methods: Speciation Theory Applied for Multi-modal Function Optimization. Algorithmic Bioprocesses (2009)
Ofer M. Shir, Thomas Bäck
Niching with derandomized evolution strategies in artificial and real-world landscapes. Nat. Comput. 8 (1) (2009)
Ofer M. Shir, Jonathan Roslund, Herschel Rabitz
Evolutionary multi-objective quantum control experiments with the covariance matrix adaptation. GECCO (2009)
Ofer M. Shir, Thomas Bäck, Herschel Rabitz, Marc J. J. Vrakking
On the evolution of laser pulses under a dynamic Quantum Control environment. IEEE Congress on Evolutionary Computation (2008)
Rui Li, Jeroen Eggermont, Ofer M. Shir, Michael T. M. Emmerich, Thomas Bäck, Jouke Dijkstra, Johan H. C. Reiber
Mixed-Integer Evolution Strategies with Dynamic Niching. PPSN (2008)
Jan Willem Klinkenberg, Michael T. M. Emmerich, André H. Deutz, Ofer M. Shir, Thomas Bäck
A Reduced-Cost SMS-EMOA Using Kriging, Self-Adaptation, and Parallelization. MCDM (2008)
Thomas Bäck, Michael Emmerich, Ofer M. Shir
Evolutionary algorithms for real world applications [Application Notes]. IEEE Comput. Intell. Mag. 3 (1) (2008)
Vincent van der Goes, Ofer M. Shir, Thomas Bäck
Niche Radius Adaptation with Asymmetric Sharing. PPSN (2008)
Ofer M. Shir, Jonathan Roslund, Thomas Bäck, Herschel Rabitz
Performance analysis of derandomized evolution strategies in quantum control experiments. GECCO (2008)
Ofer M. Shir, Thomas Bäck
The second harmonic generation case-study as a gateway for es to quantum control problems. GECCO (2007)
Ofer M. Shir, Vered Raz, Roeland W. Dirks, Thomas Bäck
Classification of Cell Fates with Support Vector Machine Learning. EvoBIO (2007)
Ofer M. Shir, Thomas Bäck, Marc J. J. Vrakking
On the scalability of evolution strategies in the optimization of dynamic molecular alignment. GECCO (2007)
Ofer M. Shir, Joost N. Kok, Thomas Bäck, Marc J. J. Vrakking
Gaining Insights into Laser Pulse Shaping by Evolution Strategies. IWINAC (1) (2007)
Ofer M. Shir, Thomas Bäck
Performance analysis of niching algorithms based on derandomized-ES variants. GECCO (2007)
Ofer M. Shir, Michael Emmerich, Thomas Bäck, Marc J. J. Vrakking
The application of evolutionary multi-criteria optimization to dynamic molecular alignment. IEEE Congress on Evolutionary Computation (2007)
Ofer M. Shir, Michael Emmerich, Thomas Bäck
Self-Adaptive Niching CMA-ES with Mahalanobis Metric. IEEE Congress on Evolutionary Computation (2007)
Ofer M. Shir, Christian Siedschlag, Thomas Bäck, Marc J. J. Vrakking
The complete-basis-functions parameterization in ES and its application to laser pulse shaping. GECCO (2006)
Ofer M. Shir, Thomas Bäck
Niche Radius Adaptation in the CMA-ES Niching Algorithm. PPSN (2006)
Ofer M. Shir, Joost N. Kok, Thomas Bäck, Marc J. J. Vrakking
Learning the Complete-Basis-Functions Parameterization for the Optimization of Dynamic Molecular Alignment by ES. IDEAL (2006)
Ofer M. Shir, Christian Siedschlag, Thomas Bäck, Marc J. J. Vrakking
Evolutionary Algorithms in the Optimization of Dynamic Molecular Alignment. IEEE Congress on Evolutionary Computation (2006)
Ofer M. Shir, Thomas Bäck
Dynamic niching in evolution strategies with covariance matrix adaptation. Congress on Evolutionary Computation (2005)
Ofer M. Shir, Christian Siedschlag, Thomas Bäck, Marc J. J. Vrakking
Niching in Evolution Strategies and Its Application to Laser Pulse Shaping. Artificial Evolution (2005)
Ofer M. Shir, Thomas Bäck
Niching in evolution strategies. GECCO (2005)