Prof. Ofer Shir, Michal Horovitz : Computational Intelligence
Multi-Objective Mixed-Integer Quadratic Models: A Study on Mathematical Programming and Evolutionary Computation
Ofer M. Shir and Michael Emmerich
2025
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Published in: IEEE Transactions on Evolutionary Computation (Volume: 29, Issue: 3, June 2025), Pages: 661-675.
All-Quadratic Mixed-Integer Problems: A Study on Evolution Strategies and Mathematical Programming
Guy Zepko and Ofer M. Shir
2025
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Evolutionary Computation Journal (2025) 1—27 (online first)
Correlated Geometric Mutations for Integer Evolution Strategies
Ofer M. Shir and Michael Emmerich
2025
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Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO-2025, New York, NY, USA, ACM Press (2025) 1825–1832
Foundations of Correlated Mutations for Integer Programming
Ofer M. Shir and Michael Emmerich
2025
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Proceedings of the 18th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, FOGA-2025, New York, NY, USA, ACM Press (2025) 285–296
Physics-Guided Inverse Regression for Crop Quality Assessment
David Shulman, Assaf Israeli, Yael Botnaro, Ori Margalit, Oved Tamir, Shaul Naschitz, Dan Gamrasni, Ofer M. Shir, and Itai Dattner
2024
Multi-objective mixed-integer quadratic models: A study on mathematical programming and evolutionary computation
Shir, O. M & Emmerich. M.
2024
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IEEE Trans. Evol. Comp. doi: 10.1109/TEVC.2024.3374519
Avoiding Redundant Restarts in Multimodal Global Optimization
de Nobel, J., Vermetten, D., Kononova, A.V., Shir, O.M. & Bäck, T.
2024
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In M. Affenzeller M., et al. Rds.), Parallel Problem Solving from Nature: Lecture Notes in Computer Science. Springer, Cham
Multi-Objective Mixed-Integer Quadratic Models: A Study on Mathematical Programming and Evolutionary Computation
Ofer M. Shir and Michael Emmerich
2024
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This paper appears in: IEEE Transactions on Evolutionary Computation On page(s): 1-15 Print ISSN: 1089-778X Online ISSN: 1941-0026 Digital Object Identifier: 10.1109/TEVC.2024.3374519
Towards AI Research Agents in the Chemical Sciences
Ofer M. Shir
2024
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ChemRxiv. Cambridge: Cambridge Open Engage; 2024
On the Behavior of the Mixed-Integer SMS-EMOA on Box-Constrained Quadratic Bi-Objective Models
Shir, O.M., Emmerich, M.
2023
Algorithmically-guided postharvest protocols by experimental combinatorial optimization
Ofer M. Shir, Boris Yazmir, Assaf Israeli, Dan Gamrasni
2022
Saliency Can Be All You Need In Contrastive Self-Supervised Learning
Kocaman, V., Shir, O.M., Bäck, T., Belbachir, A.N.
2022
Toward an ImageNet Library of Functions for Global Optimization Benchmarking
Yazmir B., Shir, O.M.
2022
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arXiv preprint (2022)
Algorithmically-guided discovery of viral epitopes via linguistic parsing: Problem formulation and solving by soft computing
Shir, O.M., Israeli, A., Caftory, A., Zepko, G., Bloch, I.
2022
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Applied Soft Computing, Volume 129 (2022) 109509
Algorithmically-guided postharvest by experimental combinatorial optimization
Shir, O.M., Yazmir, B., Israeli, A., Gamrasni, D.
2022
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Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO-2022, New York, NY, USA, ACM Press (2022) 2027–2035
Introductory Mathematical Programming for EC
Shir, O.M.
2022
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Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO-2022, New York, NY, USA, ACM Press (2022)
Sequential Experimentation by Evolutionary Algorithms
Shir, O.M., Bäck, T.
2022
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Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO-2022, New York, NY, USA, ACM Press (2022)
The Unreasonable Effectiveness of the Final Batch Normalization Layer
Kocaman, V., Shir, O.M., Bäck, T.
2021
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Proceedings of the 16th International Symposium on Visual Computing, ISVC'21
Multi-level evolution strategies for high-resolution black-box control
Shir, O.M., Xi, X., Rabitz, H.
2021
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Journal of Heuristics (2021), Springer US
Automated Feature Detection of Black-Box Continuous Search-Landscapes using Neural Image Recognition
Yazmir, B., Shir, O.M.
2021
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Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO-2021, New York, NY, USA, ACM Press (2021) 213–214
Locating the local minima in lens design with machine learning
Kononova, A.V., Shir, O.M., Tukker, T., Frisco, P., Zeng, S., Bäck, T.
2021
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Current Developments in Lens Design and Optical Engineering XXII 11814, 1181402
Addressing the Multiplicity of Solutions in Optical Lens Design as a Niching Evolutionary Algorithms Computational Challenge
Kononova, A.V., Shir, O.M., Tukker, T., Frisco, P., Zeng, S., Bäck, T.
2021
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Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO-2021, New York, NY, USA, ACM Press (2021) 1596–1604
Improving Model Accuracy for Imbalanced Image Classification Tasks by Adding a Final Batch Normalization Layer: An Empirical Study
Kocaman, V., Shir, O.M., Bäck, T.
2021
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Proceedings of the 25th International Conference on Pattern Recognition, ICPR2020 (2021) 10404–10411
Benchmarking Discrete Optimization Heuristics with IOHprofiler.
Doerr, C., Ye, F., Horesh, N., Wang, H., Shir, O.M., Bäck, T.
2020
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Applied Soft Computing 88 (2020) 106027
On the Covariance-Hessian Relation in Evolution Strategies.
Shir, O.M., Yehudayoff, A.
2020
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Theoretical Computer Science 801 (2020) 157—174