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Papers matching “design optimization” 110

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When AI Bends Metal: AI-Assisted Optimization of Design Parameters in Sheet Metal Forming
2025 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Ahmad Tarraf, Koutaiba El Rifai Kassem-Manthey, Philipp Martin, Lukas Moj, Semih Burak, Christian Terboven, +1 more

1

citations
DistributedDesignOptimizer: A modular Python framework for Setup, Execution and Processing of Distributed Design Optimization
2026 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Sebastian Ellmaier, A.J. de Wit, Akilesh Raveendran, Marc-Eric Vogt, Thomas Bäck, Anna V. Kononova

0

citations
A Novel Multi-Objective Risk Averse Bayesian Optimization Algorithm for Inverse Design of Dual-Phase Microstructures
2026 SSRN Electronic Journal preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Irene Biermann, Niklas C. Fehlemann

0

citations
Amortized Molecular Optimization via Group Relative Policy Optimization
2026 arXiv (Cornell University) preprint Computer Science Computational Drug Discovery Methods Open access

Muhammad bin Javaid, Hasham Hussain, Ashima Khanna, Berke Kisin, Jonathan Pirnay, Alexander Mitsos, +2 more

0

citations
Large Language Models and Evolutionary Computation: A Critical Review of Bidirectional Interaction, Automated Algorithm Design, and Co-Adaptive Systems
2025 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Dikshit Chauhan, Bapi Dutta, Indu Bala, Bas van Stein, Thomas Bäck

0

citations
From Heuristic Selection to Automated Algorithm Design: LLMs Benefit from Strong Priors
2026 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Qi Huang, Furong Ye, Ananta Shahane, Thomas Bäck, Bas van Stein

0

citations
Developement of Reinforcement Learning based Optimisation Method for Side-Sill Design
2024 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Aditya Borse, Rutwik Gulakala, Marcus Stoffel

0

citations
LLM-Driven Evolutionary Generation of Multi-Objective Bayesian Optimization Algorithms
2026 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Georgios Laskaris, Reuben Brasher, Bas van Stein, Elena Raponi, Thomas Bäck, Florian Neukart

0

citations
Towards Realistic Optimization Benchmarks: A Questionnaire on the Properties of Real-World Problems
2020 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Koen van der Blom, Timo M. Deist, Tea Tušar, Mariapia Marchi, Yusuke Nojima, Akira Oyama, +2 more

1

citations
Explainable Benchmarking for Iterative Optimization Heuristics
2024 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Bas van Stein, Diederick Vermetten, Anna V. Kononova, Thomas Bäck

2

citations
Expediting hit-to-lead progression in drug discovery through reaction prediction and multi-objective molecular optimization
2025 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

David F. Nippa, Kenneth Atz, Yannick Stenzhorn, Alex T. Müller, Andreas Tosstorff, Jörg Benz, +17 more

1

citations
Expediting hit-to-lead progression in drug discovery through reaction prediction and multi-objective molecular optimization
2025 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

David F. Nippa, Kenneth Atz, Yannick Stenzhorn, Alex T. Müller, Andreas Tosstorff, Jörg Benz, +17 more

1

citations
DrugEx v2: De Novo Design of Drug Molecule by Pareto-based Multi-Objective Reinforcement Learning in Polypharmacology
2021 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Xuhan Liu, Herman van Vlijmen, Michael Emmerich, Adriaan P. IJzerman, Gerard J. P. van Westen

1

citations
DrugEx v2: De Novo Design of Drug Molecule by Pareto-based Multi-Objective Reinforcement Learning in Polypharmacology
2021 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Xuhan Liu, Kai Ye, Herman van Vlijmen, Michael Emmerich, Adriaan P. IJzerman, Gerard J. P. van Westen

1

citations
Understanding and Improving Optimization in Predictive Coding Networks
2023 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Nick Alonso, Jeffrey L. Krichmar, Emre Neftci

0

citations
DrugEx v2: De Novo Design of Drug Molecule by Pareto-based Multi-Objective Reinforcement Learning in Polypharmacology
2021 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Xuhan Liu, Herman van Vlijmen, Michael Emmerich, Adriaan P. IJzerman, Gerard J. P. van Westen

0

citations
LLaMEA-SAGE: Guiding Automated Algorithm Design with Structural Feedback from Explainable AI
2026 arXiv (Cornell University) preprint Computer Science Evolutionary Algorithms and Applications Open access

Niki van Stein, Anna V. Kononova, Lars Kotthoff, Thomas Bäck

0

citations
DrugEx v3: Scaffold-Constrained Drug Design with Graph Transformer-based Reinforcement Learning
2021 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Xuhan Liu, Kai Ye, Herman van Vlijmen, Adriaan P. IJzerman, Gerard J. P. van Westen

11

citations
Generate What You Can Make: Achieving in-house synthesizability with readily available resources in de novo drug design
2024 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Alan Kai Hassen, Martin Šícho, Yorick J. van Aalst, Mirjam C. W. Huizenga, Darcy N. R. Reynolds, Sohvi Luukkonen, +5 more

3

citations
Exploiting Structure with Anisotropic Consensus-Based Optimization
2026 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Sabrina Bonandin, Konstantin Riedl, Sara Veneruso

0

citations
Bayesian Optimization of Partially Known Systems using Hybrid Models
2026 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Eike Cramer, Luis Kutschat, Oliver Stollenwerk, Joel A. Paulson, Alexander Mitsos

0

citations
Empirical Quantum Advantage in Constrained Optimization from Encoded Unitary Designs
2025 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

0

citations
Automated Algorithm Design for Auto-Tuning Optimizers
2025 arXiv (Cornell University) preprint Computer Science Parallel Computing and Optimization Techniques Open access

Floris-Jan Willemsen, Bas van Stein, Ben van Werkhoven

0

citations
IOHanalyzer: Detailed Performance Analyses for Iterative Optimization Heuristics
2020 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Hao Wang, Diederick Vermetten, Furong Ye, Carola Doerr, Thomas Bäck

0

citations
Adaptive Encoding Strategy for Quantum Annealing in Mixed-Variable Engineering Optimization
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Fabian Key, Lukas Freinberger, Mayu Muramatsu, Norbert Hosters

0

citations