Computational Intelligence

We are interested in learning and optimization questions related to systems within the Natural Sciences. Our group is especially interested in Machine/Statistical Learning and Global Optimization aspects of experimental domains, that is, practical physical-, life- and agro-sciences search-problems whose simulated models are unavailable and thus require real-world experimentation.

Prof. Ofer Shir

Title
Overview

We are primarily interested in Operational Research and Machine Learning aspects of experimental domains, that is, algorithmic design for practical physical- and life-sciences problems whose computerized models are unavailable or too expensive to be executed, and thus require real-world measurements when applying search/learning.

We foresee Computational Intelligence algorithms as facilitators that will assist experimental scientists in achieving optimal behavior of their systems and in identifying targeted phenomena. Our long-term research plan is to establish algorithmically-guided discovery tools for bio-systems. A primary pathway, adhering to this plan, is actively to devise specific algorithms for experimental optimization and learning of specific bio-systems.

Enlisted below are ongoing research projects at the Shir group:

  • Experimental combinatorial optimization of protein expression systems (with Dr. Noy/Migal)
  • Precision agriculture: geo-statistical learning (with Prof. Litaor/Migal)
  • Benchmarking randomized search heuristics (with Dr. Doerr/Sorbonne and Prof. Bäck/Leiden-U)
  • Effective Detection of Foliage Diseases in Vineyards (with Dr. Sharon/Migal)
  • Deep Learning of a Complementary Ensemble of Sporadic Input Maps (with Prof. Linker/Technion-IIT and Dr. Chen/Migal)

Principal Researcher

Prof. Ofer Shir

Prof. Ofer Shir
Computational Intelligence
972-4-7700527

The advent of modern laboratory and field experiments, as well as of computerized systems, enables researchers to control experiments and analyze their big-data in high-speed rates.

Team

Assaf Israeli

B.Sc. 2010, Tel-Hai College. Israel
Research assistant and M.Sc. candidate

Naama Horesh

Research assistant
B.Sc. 2017, Ben-Gurion University, Israel

Collaborations

Funding

Latest Publications

Introductory Mathematical Programming for EC

Shir, O.M.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO-2021, New York, NY, USA, ACM Press (2021)
2021

Sequential Experimentation by Evolutionary Algorithms

Shir, O.M., Bäck, T.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO-2021, New York, NY, USA, ACM Press (2021)
2021

Automated Feature Detection of Black-Box Continuous Search-Landscapes using Neural Image Recognition

Yazmir, B., Shir, O.M.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO-2021, New York, NY, USA, ACM Press (2021) 213–214
2021

Multi-level evolution strategies for high-resolution black-box control

Shir, O.M., Xi, X., Rabitz, H.
Journal of Heuristics (2021), Springer US
2021

Contact Information

Research Group Leader
Prof. Ofer Shir
972-4-7700527
ofers@migal.org.il

Social Media