Results 101 to 110 of about 1,432,311 (298)
Advanced Intelligent Discovery, EarlyView.Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi +2 more
wiley +1 more source
Advances in Mechanical Engineering, 2016 Real-time traffic control is very important for urban transportation systems. Due to conflicts among different optimization objectives, the existing multi-objective models often convert into single-objective problems through weighted sum method.
Pengpeng Jiao, Ruimin Li, Zhihong Li
doaj +1 more source
Consensus Moderation System [PDF]
The present paper formulates a consensus moderation system based on the negotiation of the actors involved. There are a series of steps in the moderation process, the first of which is constructing a front of Pareto optimal solutions.
Andrei TOMA
core
Advanced Intelligent Discovery, EarlyView.This research demonstrates that the combination of domain knowledge–based multiple regression, multi‐objective Bayesian optimization, and generative models is a suitable prediction tool for candidates of high refractive index polymers, even with the constraints in the model trained on limited data. The experimental validation can reproduce the proposed
Takuya Yokoo +3 more
wiley +1 more source
The impact of bone marrow sparing on organs at risk dose for cervical cancer: a Pareto front analysis. [PDF]
Front Oncol, 2023 Kuipers S +8 more
europepmc +1 more source
Advanced Intelligent Discovery, EarlyView.With the downstream filter held fixed, text‐derived composition representations produce distinct screening outcomes across 14 electrocatalyst libraries. Embedding model and composition encoding control the trade‐off between candidate reduction and preservation of the best measured current.
Lei Zhang, Markus Stricker
wiley +1 more source
Evolving dynamic multiple-objective optimization problems with objective replacement [PDF]
, 2005 This paper studies the strategies for multi-objective optimization in a dynamic environment. In particular, we focus on problems with objective replacement, where some objectives may be replaced with new objectives during evolution.
Mo, W, Guan, SU, Chen, Q
core +2 more sources
Crystal Structure Prediction of Inorganic Materials: A Benchmark and Modern Evaluation
Advanced Intelligent Discovery, EarlyView.Predicting a crystal’s structure from composition alone is a long‐standing challenge in materials discovery. The CSP180 benchmark of 180 inorganic crystals evaluates thirteen crystal structure prediction algorithms requiring no density functional theory (DFT) against DFT‐based baselines across twelve metrics.
Lai Wei +9 more
wiley +1 more source
gcFront: a tool for determining a Pareto front of growth-coupled cell factory designs. [PDF]
Bioinformatics, 2022 Legon L, Corre C, Bates DG, Mannan AA.
europepmc +1 more source
Advanced Intelligent Systems, EarlyView.A schema‐first alignment framework builds compact, executable domain‐specific language models under data scarcity. Large‐scale synthetic question‐answer generation instills domain knowledge, and a code‐centric IR‐to‐DPO pipeline aligns generation with tool‐executable syntax.
Di Wang +4 more
wiley +1 more source