The legendary Craig Reynolds presenting the evolutionary design of Boids using multiobjective optimization
#ALIFE2026
#ALIFE2026
August 20, 2026 at 8:03 PM
The legendary Craig Reynolds presenting the evolutionary design of Boids using multiobjective optimization
#ALIFE2026
#ALIFE2026
Meet evedesign: open-source AI, accessible protein design
✅Combine models for multiobjective optimization
✅Integrate experimental data
✅ Run on your own infrastructure
📄Paper: www.biorxiv.org/content/10.6...
💻Code: github.com/evedesignbio
🌐Webserver: evedesign.bio
Collaborate: hello@evedesign.bio
✅Combine models for multiobjective optimization
✅Integrate experimental data
✅ Run on your own infrastructure
📄Paper: www.biorxiv.org/content/10.6...
💻Code: github.com/evedesignbio
🌐Webserver: evedesign.bio
Collaborate: hello@evedesign.bio
evedesign: accessible biosequence design with a unified framework
Unified protein design for computational researchers and experimentalists
deboramarkslab.substack.com
March 23, 2026 at 4:58 PM
Meet evedesign: open-source AI, accessible protein design
✅Combine models for multiobjective optimization
✅Integrate experimental data
✅ Run on your own infrastructure
📄Paper: www.biorxiv.org/content/10.6...
💻Code: github.com/evedesignbio
🌐Webserver: evedesign.bio
Collaborate: hello@evedesign.bio
✅Combine models for multiobjective optimization
✅Integrate experimental data
✅ Run on your own infrastructure
📄Paper: www.biorxiv.org/content/10.6...
💻Code: github.com/evedesignbio
🌐Webserver: evedesign.bio
Collaborate: hello@evedesign.bio
Multiobjective design of growth media with genome-scale metabolic models and Bayesian optimization
doi.org/10.64898/202...
doi.org/10.64898/202...
December 13, 2025 at 11:06 AM
Multiobjective design of growth media with genome-scale metabolic models and Bayesian optimization
doi.org/10.64898/202...
doi.org/10.64898/202...
Multiobjective learning and design of #bacteriophage specificity.
Deep learning maps and engineers T7’s multifunctional targeting, enabling tailored infectivity and specificity across strains.
www.sciencedirect.com/science/arti... #phage #microbiology #MicroSky
Deep learning maps and engineers T7’s multifunctional targeting, enabling tailored infectivity and specificity across strains.
www.sciencedirect.com/science/arti... #phage #microbiology #MicroSky
September 4, 2026 at 9:56 AM
Multiobjective learning and design of #bacteriophage specificity.
Deep learning maps and engineers T7’s multifunctional targeting, enabling tailored infectivity and specificity across strains.
www.sciencedirect.com/science/arti... #phage #microbiology #MicroSky
Deep learning maps and engineers T7’s multifunctional targeting, enabling tailored infectivity and specificity across strains.
www.sciencedirect.com/science/arti... #phage #microbiology #MicroSky
A multiobjective AI model for LNP engineering enhances tissue-selective mRNA delivery - @utoronto.ca go.nature.com/4ugPm9D
A multiobjective AI model for LNP engineering enhances tissue-selective mRNA delivery - Nature Biotechnology
AI targets lipid nanoparticles to specific tissues while avoiding off-target delivery to the liver.
go.nature.com
April 28, 2026 at 3:18 PM
A multiobjective AI model for LNP engineering enhances tissue-selective mRNA delivery - @utoronto.ca go.nature.com/4ugPm9D
How fair are the algorithms that decide who gets information online? Our new paper in PNAS Nexus shows that maximization algorithms, the ones used to pick “influencers” in social networks, unintentionally deepen inequality.
🧠 Sekara, Dotu, Cebrian, Moro & García-Herranz
🔗 doi.org/10.1093/pnas...
🧠 Sekara, Dotu, Cebrian, Moro & García-Herranz
🔗 doi.org/10.1093/pnas...
Detecting bias in algorithms used to disseminate information in social networks and mitigating it using multiobjective optimization
Abstract. Social connections are conduits through which individuals communicate, information propagates, and diseases spread. Identifying individuals who a
doi.org
October 31, 2025 at 1:39 PM
How fair are the algorithms that decide who gets information online? Our new paper in PNAS Nexus shows that maximization algorithms, the ones used to pick “influencers” in social networks, unintentionally deepen inequality.
🧠 Sekara, Dotu, Cebrian, Moro & García-Herranz
🔗 doi.org/10.1093/pnas...
🧠 Sekara, Dotu, Cebrian, Moro & García-Herranz
🔗 doi.org/10.1093/pnas...
Reading Recommendation: „SCORE Band Visualizations: Supporting Decision Makers in Comparing High-Dimensional Outcome Vectors in Multiobjective #Optimization“: idea.gm.th-koeln.de?p=734
November 16, 2024 at 10:35 PM
Reading Recommendation: „SCORE Band Visualizations: Supporting Decision Makers in Comparing High-Dimensional Outcome Vectors in Multiobjective #Optimization“: idea.gm.th-koeln.de?p=734
Evolutionary Multiobjective Optimization (EMO)
May 28, 2025 at 1:02 PM
Evolutionary Multiobjective Optimization (EMO)
A new #OpenAccess publication in Swarm and Evolutionary Computation: A methodology for multi-label algorithm selection in constrained multiobjective optimization
doi.org/10.1016/j.sw...
doi.org/10.1016/j.sw...
December 7, 2025 at 5:34 PM
A new #OpenAccess publication in Swarm and Evolutionary Computation: A methodology for multi-label algorithm selection in constrained multiobjective optimization
doi.org/10.1016/j.sw...
doi.org/10.1016/j.sw...
A groundbreaking study proposes a momentum-based variance-reduced algorithm that boosts convergence for federated multiobjective optimization to O(T−2/3), enhancing machine learning models' optimization of multiple conflicting objectives. https://arxiv.org/abs/2608.22945
A Momentum-Based Variance-Reduced Algorithm for Federated Multiobjective Optimization
ArXiv link for A Momentum-Based Variance-Reduced Algorithm for Federated Multiobjective Optimization
arxiv.org
August 25, 2026 at 9:50 PM
A groundbreaking study proposes a momentum-based variance-reduced algorithm that boosts convergence for federated multiobjective optimization to O(T−2/3), enhancing machine learning models' optimization of multiple conflicting objectives. https://arxiv.org/abs/2608.22945
Multiobjective design of growth media with genome-scale metabolic models and Bayesian optimization https://www.biorxiv.org/content/10.64898/2025.12.12.693982v1
December 13, 2025 at 2:01 AM
Multiobjective design of growth media with genome-scale metabolic models and Bayesian optimization https://www.biorxiv.org/content/10.64898/2025.12.12.693982v1
Epoch-based Application of Problem-Aware Operators in a Multiobjective Memetic Algorithm for Portfolio Optimization
https://arxiv.org/abs/2412.03981
https://arxiv.org/abs/2412.03981
December 6, 2024 at 3:53 PM
Epoch-based Application of Problem-Aware Operators in a Multiobjective Memetic Algorithm for Portfolio Optimization
https://arxiv.org/abs/2412.03981
https://arxiv.org/abs/2412.03981
Work led by @vedransekara.bsky.social, Ivan Dotu, Manuel Cebrián and Manuel García-Herranz
Detecting bias in algorithms used to disseminate information in social networks and mitigating it using multiobjective optimization
Abstract. Social connections are conduits through which individuals communicate, information propagates, and diseases spread. Identifying individuals who a
doi.org
October 31, 2025 at 1:39 PM
Work led by @vedransekara.bsky.social, Ivan Dotu, Manuel Cebrián and Manuel García-Herranz
Open access GECCO 2025 paper: "A Dijkstra Seeded Evolutionary Multiobjective Optimization System for a Sustainable User Multimodal Transport Routing"
doi.org/10.1145/3712...
#research #acm #ALGORITMI #CCG #AI #NSGAII
doi.org/10.1145/3712...
#research #acm #ALGORITMI #CCG #AI #NSGAII
A Dijkstra Seeded Evolutionary Multiobjective Optimization System for a Sustainable User Multimodal Transport Routing | Proceedings of the Genetic and Evolutionary Computation Conference
doi.org
July 25, 2025 at 2:45 PM
Open access GECCO 2025 paper: "A Dijkstra Seeded Evolutionary Multiobjective Optimization System for a Sustainable User Multimodal Transport Routing"
doi.org/10.1145/3712...
#research #acm #ALGORITMI #CCG #AI #NSGAII
doi.org/10.1145/3712...
#research #acm #ALGORITMI #CCG #AI #NSGAII
Just published in JOSS: 'qPOTS: A Python Package for Sample-efficient Batch Constrained Multiobjective Bayesian Optimization' https://doi.org/10.21105/joss.10867
September 22, 2026 at 11:34 AM
Just published in JOSS: 'qPOTS: A Python Package for Sample-efficient Batch Constrained Multiobjective Bayesian Optimization' https://doi.org/10.21105/joss.10867
Hey UC, quit stealing my titles! 😀
www.researchgate.net/publication/...
www.researchgate.net/publication/...
(PDF) Preventing the Robot Apocalypse (and other reasons we need multiobjective reinforcement learning)
PDF | Provides an overview of the motivating scenarios for multiobjective reinforcement learning (MORL), some speculation about how MORL may assist in... | Find, read and cite all the research you nee...
www.researchgate.net
March 12, 2025 at 5:05 AM
Hey UC, quit stealing my titles! 😀
www.researchgate.net/publication/...
www.researchgate.net/publication/...
In this #OpenAccess paper we show how to select a diverse and manageable subset of test problems from numerous benchmark suites available in constrained multiobjective optimisation.
doi.org/10.1016/j.kn...
doi.org/10.1016/j.kn...
June 15, 2026 at 11:32 PM
In this #OpenAccess paper we show how to select a diverse and manageable subset of test problems from numerous benchmark suites available in constrained multiobjective optimisation.
doi.org/10.1016/j.kn...
doi.org/10.1016/j.kn...
Been spending a lot of time trying to reason about LNPs for cell type targeting based on prior lit & our own limited experimental capacity.
...excited to see models like this:
A multiobjective AI model for LNP engineering enhances tissue-selective mRNA delivery
www.nature.com/articles/s41...
...excited to see models like this:
A multiobjective AI model for LNP engineering enhances tissue-selective mRNA delivery
www.nature.com/articles/s41...
A multiobjective AI model for LNP engineering enhances tissue-selective mRNA delivery - Nature Biotechnology
AI targets lipid nanoparticles to specific tissues while avoiding off-target delivery to the liver.
www.nature.com
May 25, 2026 at 2:41 PM
Been spending a lot of time trying to reason about LNPs for cell type targeting based on prior lit & our own limited experimental capacity.
...excited to see models like this:
A multiobjective AI model for LNP engineering enhances tissue-selective mRNA delivery
www.nature.com/articles/s41...
...excited to see models like this:
A multiobjective AI model for LNP engineering enhances tissue-selective mRNA delivery
www.nature.com/articles/s41...
I suspect it's kind of terrible that my first thought was when I could schedule that to be of the most use while also minimizing disruption to my coworkers.
Multiobjective optimization!
Multiobjective optimization!
June 30, 2026 at 7:12 PM
I suspect it's kind of terrible that my first thought was when I could schedule that to be of the most use while also minimizing disruption to my coworkers.
Multiobjective optimization!
Multiobjective optimization!
Multiobjective learning and design of bacteriophage specificity [new]
Multiobjective learning designs phage specificity, achieving complex specificity. High T7 tunability w/ few mutations & generalizable.
Multiobjective learning designs phage specificity, achieving complex specificity. High T7 tunability w/ few mutations & generalizable.
May 20, 2025 at 5:17 AM
Multiobjective learning and design of bacteriophage specificity [new]
Multiobjective learning designs phage specificity, achieving complex specificity. High T7 tunability w/ few mutations & generalizable.
Multiobjective learning designs phage specificity, achieving complex specificity. High T7 tunability w/ few mutations & generalizable.
In Lecture 20 we derive an efficient online multicalibration algorithm by specializing our general multiobjective optimization framework: www.youtube.com/watch?v=AI1H...
CIS 6200: Learning in Games and Games in Learning. Lecture 20
http://mlgametheory.comIn this lecture we derive an efficient combinatorial online algorithm for (1 dimensional) multicalibration, as an application of our m...
www.youtube.com
November 21, 2023 at 2:25 AM
In Lecture 20 we derive an efficient online multicalibration algorithm by specializing our general multiobjective optimization framework: www.youtube.com/watch?v=AI1H...
Multiobjective learning and design of bacteriophage specificity https://www.biorxiv.org/content/10.1101/2025.05.19.654895v1
May 20, 2025 at 5:03 AM
Multiobjective learning and design of bacteriophage specificity https://www.biorxiv.org/content/10.1101/2025.05.19.654895v1
Happy to announce the next iteration of the Multi-Objective Decision Making workshop (MODeM 2026), at IJCAI-ECAI 2026 (Bremen, Germany, 15-17 August)
Deadline: 5 May 2026 (23:59 AoE).
More info at
modem2026.vub.ac.be
#modem2026 #MultiObjective #DecisionMaking
Deadline: 5 May 2026 (23:59 AoE).
More info at
modem2026.vub.ac.be
#modem2026 #MultiObjective #DecisionMaking
MODeM 2026
modem2026.vub.ac.be
April 1, 2026 at 11:02 AM
Happy to announce the next iteration of the Multi-Objective Decision Making workshop (MODeM 2026), at IJCAI-ECAI 2026 (Bremen, Germany, 15-17 August)
Deadline: 5 May 2026 (23:59 AoE).
More info at
modem2026.vub.ac.be
#modem2026 #MultiObjective #DecisionMaking
Deadline: 5 May 2026 (23:59 AoE).
More info at
modem2026.vub.ac.be
#modem2026 #MultiObjective #DecisionMaking
We've used Pareto selection to find a range of diverse and high-yielding precedents for synthesis reactions. Thanks for pushing this, Christoph Bauer! doi.org/10.26434/che...
Precedent Finder – Locating Pareto-Optimal
Reactions
We present Precedent Finder, a cheminformatics search tool for locating relevant reaction
information in chemical reaction databases. Precedent Finder is a multiobjective optimization, in
that it re...
doi.org
August 22, 2025 at 9:27 AM
We've used Pareto selection to find a range of diverse and high-yielding precedents for synthesis reactions. Thanks for pushing this, Christoph Bauer! doi.org/10.26434/che...
Multiobjective learning and design of bacteriophage specificity https://www.biorxiv.org/content/10.1101/2025.05.19.654895v1
May 20, 2025 at 5:04 AM
Multiobjective learning and design of bacteriophage specificity https://www.biorxiv.org/content/10.1101/2025.05.19.654895v1