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ORCIDOfer M. Shir
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2020 – today
- 2024
[c57]Jacob de Nobel
, Diederick Vermetten, Anna V. Kononova, Ofer M. Shir, Thomas Bäck:
Avoiding Redundant Restarts in Multimodal Global Optimization. PPSN (2) 2024: 268-283- [i14]Jacob de Nobel, Diederick Vermetten, Anna V. Kononova, Ofer M. Shir, Thomas Bäck:
Avoiding Redundant Restarts in Multimodal Global Optimization. CoRR abs/2405.01226 (2024) - [i13]Guy Zepko, Ofer M. Shir:
Addressing Unboundedness in Quadratically-Constrained Mixed-Integer Problems. CoRR abs/2405.05978 (2024) - 2023
- [c56]Ofer M. Shir, Michael Emmerich:
On the Behavior of the Mixed-Integer SMS-EMOA on Box-Constrained Quadratic Bi-Objective Models. GECCO Companion 2023: 1579-1586 - [i12]Martin Feder, Michal Horovitz, Assaf Chen, Raphael Linker, Ofer M. Shir:
Lessons Learned Report: Super-Resolution for Detection Tasks in Engineering Problem-Solving. CoRR abs/2303.00364 (2023) - 2022
- [j10]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: 109509 (2022) - [c55]Ofer M. Shir:
Introductory mathematical programming for EC. GECCO Companion 2022: 1067-1080 - [c54]Ofer M. Shir, Thomas Bäck:
Sequential experimentation by evolutionary algorithms. GECCO Companion 2022: 1450-1468 - [c53]Ofer M. Shir, Boris Yazmir, Assaf Israeli, Dan Gamrasni:
Algorithmically-guided postharvest protocols by experimental combinatorial optimization. GECCO Companion 2022: 2027-2035 - [c52]Veysel Kocaman, Ofer M. Shir, Thomas Bäck, Ahmed Nabil Belbachir:
Saliency Can Be All You Need in Contrastive Self-supervised Learning. ISVC (2) 2022: 119-140 - [i11]Boris Yazmir, Ofer M. Shir:
Toward an ImageNet Library of Functions for Global Optimization Benchmarking. CoRR abs/2206.13630 (2022) - [i10]Veysel Kocaman, Ofer M. Shir, Thomas Bäck, Ahmed Nabil Belbachir:
Saliency Can Be All You Need In Contrastive Self-Supervised Learning. CoRR abs/2210.16776 (2022) - 2021
- [j9]Ofer M. Shir, Xi Xing, Herschel Rabitz:
Multi-level evolution strategies for high-resolution black-box control. J. Heuristics 27(6): 1021-1055 (2021) - [c51]Boris Yazmir, Ofer M. Shir:
Automated feature detection of black-box continuous search-landscapes using neural image recognition. GECCO Companion 2021: 213-214 - [c50]Ofer M. Shir:
Introductory mathematical programming for EC. GECCO Companion 2021: 484-497 - [c49]Ofer M. Shir, Thomas Bäck:
Sequential experimentation by evolutionary algorithms. GECCO Companion 2021: 941-958 - [c48]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: 1596-1604 - [c47]Veysel Kocaman, Ofer M. Shir, Thomas Bäck:
The Unreasonable Effectiveness of the Final Batch Normalization Layer. ISVC (2) 2021: 81-93 - [i9]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 abs/2105.10541 (2021) - [i8]Veysel Kocaman, Ofer M. Shir, Thomas Bäck:
The Unreasonable Effectiveness of the Final Batch Normalization Layer. CoRR abs/2109.09016 (2021) - 2020
- [j8]Carola Doerr, Furong Ye, Naama Horesh, Hao Wang, Ofer M. Shir, Thomas Bäck:
Benchmarking discrete optimization heuristics with IOHprofiler. Appl. Soft Comput. 88: 106027 (2020) - [j7]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): 1718 (2020) - [j6]Ofer M. Shir, Amir Yehudayoff:
On the covariance-Hessian relation in evolution strategies. Theor. Comput. Sci. 801: 157-174 (2020) - [c46]Ofer M. Shir:
Introductory mathematical programming for EC. GECCO Companion 2020: 547-560 - [c45]Ofer M. Shir, Thomas Bäck:
Sequential experimentation by evolutionary algorithms. GECCO Companion 2020: 957-974 - [c44]Hao Wang, Carola Doerr, Ofer M. Shir, Thomas Bäck:
Benchmarking and analyzing iterative optimization heuristics with IOHprofiler. GECCO Companion 2020: 1043-1054 - [c43]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: 10404-10411 - [i7]Ofer M. Shir, Xi Xing, Herschel Rabitz:
Multi-Level Evolution Strategies for High-Resolution Black-Box Control. CoRR abs/2010.01524 (2020) - [i6]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 abs/2011.06319 (2020)
2010 – 2019
- 2019
- [c42]Naama Horesh, Thomas Bäck, Ofer M. Shir:
Predict or screen your expensive assay: DoE vs. surrogates in experimental combinatorial optimization. GECCO 2019: 274-284 - [c41]Ofer M. Shir, Thomas Bäck:
Sequential experimentation by evolutionary algorithms. GECCO (Companion) 2019: 1095-1112 - [c40]Assaf Israeli, Michael Emmerich, Michael Iggy Litaor, Ofer M. Shir:
Statistical learning in soil sampling design aided by pareto optimization. GECCO 2019: 1198-1205 - [c39]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: 1789-1797 - [c38]Carola Doerr, Furong Ye, Naama Horesh, Hao Wang, Ofer M. Shir, Thomas Bäck:
Benchmarking discrete optimization heuristics with IOHprofiler. GECCO (Companion) 2019: 1798-1806 - [i5]Carola Doerr, Furong Ye, Naama Horesh, Hao Wang, Ofer M. Shir, Thomas Bäck:
Benchmarking Discrete Optimization Heuristics with IOHprofiler. CoRR abs/1912.09237 (2019) - 2018
- [j5]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): 309-311 (2018) - [c37]Ofer M. Shir:
Introductory mathematical programming for EC. GECCO (Companion) 2018: 539-552 - [c36]Ofer M. Shir, Thomas Bäck:
Sequential experimentation by evolutionary algorithms. GECCO (Companion) 2018: 956-976 - [c35]Ofer M. Shir, Carola Doerr, Thomas Bäck:
Compiling a benchmarking test-suite for combinatorial black-box optimization: a position paper. GECCO (Companion) 2018: 1753-1760 - [c34]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: 477-489 - [r1]Michael Emmerich, Ofer M. Shir, Hao Wang:
Evolution Strategies. Handbook of Heuristics 2018: 89-119 - [i4]Ofer M. Shir, Amir Yehudayoff:
On the Covariance-Hessian Relation in Evolution Strategies. CoRR abs/1806.03674 (2018) - 2017
- [c33]Ofer M. Shir, Amir Yehudayoff:
On the Statistical Learning Ability of Evolution Strategies. FOGA 2017: 127-138 - [c32]Ofer M. Shir, Thomas Bäck, Joshua D. Knowles, Richard Allmendinger:
Sequential experimentation by evolutionary algorithms. GECCO (Companion) 2017: 828-851 - [c31]Sandeep V. Belure, Ofer M. Shir, Vikas Nanda:
Protein design by multiobjective optimization: evolutionary and non-evolutionary approaches. GECCO 2017: 1081-1088 - [c30]Yigal Lahav, Ofer M. Shir, Dror Noy:
Solving structures of pigment-protein complexes as inverse optimization problems using decomposition. GECCO 2017: 1169-1176 - 2016
- [c29]Ofer M. Shir:
Multilevel Evolution Strategies for Multigrid Problems. GECCO (Companion) 2016: 33-34 - [c28]Ofer M. Shir, Jonathan Roslund, Amir Yehudayoff:
On the Capacity of Evolution Strategies to Statistically Learn the Landscape. GECCO (Companion) 2016: 151-152 - [i3]Ofer M. Shir, Jonathan Roslund, Amir Yehudayoff:
On the Theoretical Capacity of Evolution Strategies to Statistically Learn the Landscape Hessian. CoRR abs/1606.07262 (2016) - 2013
- [c27]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: 153-160 - [c26]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: 89-100 - 2012
- [j4]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): 445-491 (2012) - [c25]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: 171-176 - [p1]Ofer M. Shir:
Niching in Evolutionary Algorithms. Handbook of Natural Computing 2012: 1035-1069 - 2011
- [i2]Ofer M. Shir, Jonathan Roslund, L. Darrell Whitley, Herschel Rabitz:
Evolutionary Hessian Learning: Forced Optimal Covariance Adaptive Learning (FOCAL). CoRR abs/1112.4454 (2011) - [i1]Ofer M. Shir, Jonathan Roslund, Zaki Leghtas, Herschel Rabitz:
Quantum Control Experiments as a Testbed for Evolutionary Multi-Objective Algorithms. CoRR abs/1112.5424 (2011) - 2010
- [j3]Ofer M. Shir, Michael Emmerich, Thomas Bäck:
Adaptive Niche Radii and Niche Shapes Approaches for Niching with the CMA-ES. Evol. Comput. 18(1): 97-126 (2010) - [c24]Ofer M. Shir, Jonathan Roslund, Herschel Rabitz:
Forced optimal covariance adaptive learning: modified CMA-ES for efficient hessian determination. GECCO 2010: 421-422 - [c23]Thomas Bäck, Joshua D. Knowles, Ofer M. Shir:
Experimental optimization by evolutionary algorithms. GECCO (Companion) 2010: 2897-2916
2000 – 2009
- 2009
- [j2]Ofer M. Shir, Thomas Bäck:
Niching with derandomized evolution strategies in artificial and real-world landscapes. Nat. Comput. 8(1): 171-196 (2009) - [c22]Ofer M. Shir, Thomas Bäck:
Niching Methods: Speciation Theory Applied for Multi-modal Function Optimization. Algorithmic Bioprocesses 2009: 705-729 - [c21]Ofer M. Shir, Mike Preuss, Boris Naujoks, Michael T. M. Emmerich:
Enhancing Decision Space Diversity in Evolutionary Multiobjective Algorithms. EMO 2009: 95-109 - [c20]Ofer M. Shir, Jonathan Roslund, Herschel Rabitz:
Evolutionary multi-objective quantum control experiments with the covariance matrix adaptation. GECCO 2009: 659-666 - 2008
- [j1]Thomas Bäck, Michael Emmerich, Ofer M. Shir:
Evolutionary algorithms for real world applications [Application Notes]. IEEE Comput. Intell. Mag. 3(1): 64-67 (2008) - [c19]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: 2127-2134 - [c18]Ofer M. Shir, Jonathan Roslund, Thomas Bäck, Herschel Rabitz:
Performance analysis of derandomized evolution strategies in quantum control experiments. GECCO 2008: 519-526 - [c17]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: 301-311 - [c16]Vincent van der Goes, Ofer M. Shir, Thomas Bäck:
Niche Radius Adaptation with Asymmetric Sharing. PPSN 2008: 195-204 - [c15]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: 246-255 - 2007
- [c14]Ofer M. Shir, Michael Emmerich, Thomas Bäck:
Self-Adaptive Niching CMA-ES with Mahalanobis Metric. IEEE Congress on Evolutionary Computation 2007: 820-827 - [c13]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: 4108-4115 - [c12]Ofer M. Shir, Vered Raz, Roeland W. Dirks, Thomas Bäck:
Classification of Cell Fates with Support Vector Machine Learning. EvoBIO 2007: 258-269 - [c11]Ofer M. Shir, Thomas Bäck:
Performance analysis of niching algorithms based on derandomized-ES variants. GECCO 2007: 705-712 - [c10]Ofer M. Shir, Thomas Bäck:
The second harmonic generation case-study as a gateway for es to quantum control problems. GECCO 2007: 713-721 - [c9]Ofer M. Shir, Thomas Bäck, Marc J. J. Vrakking:
On the scalability of evolution strategies in the optimization of dynamic molecular alignment. GECCO 2007: 2266 - [c8]Ofer M. Shir, Joost N. Kok, Thomas Bäck, Marc J. J. Vrakking:
Gaining Insights into Laser Pulse Shaping by Evolution Strategies. IWINAC (1) 2007: 467-477 - 2006
- [c7]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: 2912-2919 - [c6]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: 1769-1776 - [c5]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: 410-418 - [c4]Ofer M. Shir, Thomas Bäck:
Niche Radius Adaptation in the CMA-ES Niching Algorithm. PPSN 2006: 142-151 - 2005
- [c3]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: 85-96 - [c2]Ofer M. Shir, Thomas Bäck:
Dynamic niching in evolution strategies with covariance matrix adaptation. Congress on Evolutionary Computation 2005: 2584-2591 - [c1]Ofer M. Shir, Thomas Bäck:
Niching in evolution strategies. GECCO 2005: 915-916
Coauthor Index
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