Research Materials and Presentations
- Overcoming Coupon Collector's Syndrome when Optimizing Multimodal Domains (MMMOO workshop at PPSN-2024; Hagenberg, Upper Austria, September 2024) pdf
- Introductory Mathematical Programming for EC (PPSN-2024 tutorial; Hagenberg, Upper Austria, September 2024) pdf
- Addressing Unboundedness in Quadratically-Constrained Mixed-Integer Problems (arXiv preprint with Guy Zepko) arXiv
- Avoiding Redundant Restarts in Multimodal Global Optimization (arXiv preprint with Jacob de Nobel, Diederick Vermetten, Anna V. Kononova, and Thomas Bäck) arXiv
- Veysel Kocaman, Learning from small samples. Doctoral Thesis Universiteit Leiden (joint supervision with Thomas Bäck, 2024): dissertation Leiden-U
- On the Behavior of the Mixed-Integer SMS-EMOA (GECCO'23 AABOH workshop presentation; Lisbon, Portugal, July 2023) pdf
- Mind the Gap (Dagstuhl Seminar on Challenges in Benchmarking Optimization Heuristics, 23251, June 2023) pdf
- Towards AI Research Agents in the Chemical Sciences (ChemRxiv preprint) ChemRxiv
- Lessons Learned Report: Super-Resolution for Detection Tasks in Engineering Problem-Solving arXiv
- GWANN: Implementing deep learning in genome wide association studies (bioRxiv preprint with Nimrod Ashkenazy, Martin Feder, and Sariel Hubner) bioRxiv
- Sequential Experimentation by Evolutionary Algorithms (GECCO'22 joint tutorial with Thomas Bäck; Boston MA, USA, July 2022) ACM/dL
- Algorithmically-Guided Postharvest by Experimental Combinatorial Optimization (GECCO'22 Presentation, July 2022) pdf
- Toward an ImageNet Library of Functions for Global Optimization Benchmarking (arXiv preprint with Boris Yazmir) arXiv
- Ido Dan, Developing models for soil texture classification from ancillary data using machine learning. MSc Thesis Tel-Hai College (joint supervision with Iggy Litaor, 2022): dissertation for download
- Assaf Israeli, Multiobjective Optimization of Soil Sampling Design Using Information Metrics. MSc Thesis Tel-Hai College (joint supervision with Iggy Litaor, 2020): dissertation for download
- Chen Erlich, Experimental Combinatorial Optimization of Phycobiliproteins' Expression in E.coli. MSc Thesis Tel-Hai College (joint supervision with Dror Noy, 2019): dissertation for download
- Compiling a Benchmarking Test-Suite for Combinatorial Black-Box Optimization: A Position Presentation (GECCO'18, July 2018) pdf
- Fundamentals of ESs' Statistical Learning (Dagstuhl Seminar on Theory of Randomized Optimization Heuristics, 17191, May 2017) pdf
- On the Covariance-Hessian Relation in Evolution Strategies (arXiv preprint with Amir Yehudayoff) pdf
- On the Statistical Learning Ability of Evolution Strategies (Foundations of Genetic Algorithms Workshop FOGA-XIV, January 2017) pdf
- Computational Intelligence in the Natural Sciences: Machine Learning, Optimization, and Heuristic Search (Princeton University Seminar, July 2016) pdf
- Pareto Automated Recommendation (LIACS Colloquium, Dec. 2014) pdf
- On Parameterizations and Randomized Search Heuristics in Computationally-Expensive Quantum Control Simulations pdf
- Doctoral Thesis: manuscript for download
Links
- PPSN 2024: The 18th International Conference on Parallel Problem Solving From Nature, Hagenberg, Austria, September 2024; MathProg Tutorial
- JSS 2024: The 33rd Jyväskylä Summer School , Jyväskylä, Finland, August 2024; COM3: Introduction to Quantum Computing
- GECCO 2024: The Genetic and Evolutionary Computation Conference, Melbourne, Australia, July 2024; 3rd Quantum Optimization Workshop
- COST Action 22137: Randomised Optimisation Algorithms Research Network (ROAR-NET) (MC Member IL; WG 2)
- GECCO 2023: The Genetic and Evolutionary Computation Conference, Lisbon, Portugal, July 2023; ENUM Track
- Dagstuhl Seminar on Challenges in Benchmarking Optimization Heuristics (23251, June 2023)
- EMO 2023: Evolutionary Multi-Criterion Optimization ,Leiden University, March 2023.
- IOHprofiler: Iterative Optimization Heuristics Profiler: web tool, GitHub, flyer
- Dagstuhl Seminar on Theory of Randomized Optimization Heuristics (19431, October 2019)
- Dagstuhl Seminar on Theory of Randomized Optimization Heuristics (17191, May 2017)
- COST Action 15140: Improving Applicability of Nature-Inspired Optimisation by Joining Theory and Practice (ImAppNIO) (MC Member IL; WG 3)
- Niching in Evolution Strategies: An Introduction (old page summarizing doctoral work on multimodal optimization)
- Leiden Institute of Advanced Computer Science (LIACS)
- Natural Computing Group at LIACS (PhD Advisor I: Prof. Thomas Bäck)
- AMOLF Amsterdam (PhD Advisor II: Prof. Marc Vrakking)
- Rabitz Group, Princeton University (Postdoc Host: Prof. Herschel Rabitz)