Results 161 to 170 of about 139,579 (291)

Heuristic optimisation [PDF]

Journal of the Operational Research Society, 2011
Uwe Aickelin, Alistair R. Clark
openaire   +2 more sources

Greedy randomized dispatching heuristics for the single machine scheduling problem with quadratic earliness and tardiness penalties [PDF]

In this paper, we present greedy randomized dispatching heuristics for the single machine scheduling problem with quadratic earliness and tardiness costs, and no machine idle time. The several heuristic versions differ, on the one hand, on the strategies
Maria R. A. Moreira, Jorge M. S. Valente
core  

Artificial Intelligence‐Driven Network Pharmacology: A Methodological Paradigm Shift Bridging Traditional Wisdom and Modern Science

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang, Sile Hu, Rigahai Ji, Riguna A, Siqige Hao, Ma Zhuo, Yi‐Hung Chen, Bisihalatu Hu, Ulana Bai, Xigui Hada   +9 more
wiley   +1 more source

Explaining success in Bayesian reasoning with the adaptive toolbox and expertise. [PDF]

Psychon Bull Rev
Fenwick H, Campitelli G, Thompson MB.
europepmc   +1 more source

Robust regression with optimisation heuristics [PDF]

Linear regression is widely-used in finance. While the standard method to obtain parameter estimates, Least Squares, has very appealing theoretical and numerical properties, obtained estimates are often unstable in the presence of extreme observations ...
Enrico Schumann, Manfred Gilli
core  

A Comprehensive Comparative Study of Active Learning Schemes for Nanophotonics Design

Advanced Intelligent Discovery, EarlyView.
Active learning (AL) strategies are benchmarked for the binary design of planar multilayer nanophotonic structures. Factorization machines combined with quantum annealing (QA) become effective as dimensionality increases. Hybrid QA provides the strongest results for 100‐layer problems, highlighting the importance of optimization method selection in ...
Serang Jung, Seongmin Kim, Jaehyun Park, Chaeyoung Park, Zhihao Xu, Sanghyo Hwang, Baiqing Ye, Youn sang Kim, Sun‐Kyung Kim, Tengfei Luo, Eungkyu Lee   +10 more
wiley   +1 more source

AbSynth: A Century of Total Syntheses as a Machine-Readable Resource for Analyzing Strategic Logic in Organic Chemistry. [PDF]

J Am Chem Soc
Czuba M, Barnowski K, Molga K, Pławecka Z, Wołos A, Stodółkiewicz S, Baś S, Petrykowski W, Beker W, Saillard E, Łęgowski K, Roszak R, Kowalczyk P, Mikulak-Klucznik B, Janasz P, Mielke E, Pietruszewska P, Łazuchiewicz M, Wójcik S, Zabielski J, Nostkiewicz D, Smaga G, Makkawi A, Gadina LPJ, Skoczek J, Klucznik T, Deschamps M, Żądło-Dobrowolska A, Michalak M, Szymkuć S, Gryko DT, Bilgi-Gadina Y, Grzybowski BA.   +32 more
europepmc   +1 more source

A Two‐Stage Characterization Pipeline and Open‐Source Framework for Reproducible Tactile Sensing

Advanced Intelligent Systems, EarlyView.
The same soft tactile sensor returns different numbers when embodied in different robots. This is an Embodiment Gap that no shared framework currently captures transparently. A two‐stage characterization pipeline, paired with a FAIR open‐source digital datasheet, decouples intrinsic sensor behavior from embodiment effects and condenses cross‐laboratory
Matteo Lo Preti, Weng Buxiu, Petr Trunin, Muhammad Sunny Nazeer, Lucia Beccai, Perla Maiolino, Cecilia Laschi   +6 more
wiley   +1 more source

Chatbots reduce health-related conspiracy beliefs not because of but despite being perceived as AI. [PDF]

Sci Rep
Ballot P, van de Sande Y, Schraffenberger H, Schmid P.   +3 more
europepmc   +1 more source

Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation

Advanced Intelligent Systems, EarlyView.
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison, Kevin Nadaud, Josquin Harrison, Guillaume F. Nataf, Laura Bégon‐Lours   +4 more
wiley   +1 more source