Results 151 to 160 of about 481,157 (359)

Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing

Future generations computer systems, 2012
A. Beloglazov, J. Abawajy, R. Buyya
semanticscholar   +1 more source

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

Advanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee, Hyeonbin Moon, Junhyeong Lee, Seunghwa Ryu   +3 more
wiley   +1 more source

The Game of Inventing: Ludic Heuristics, Ontological Play, and Pleasurable Research

, 2018
Jacob Euteneuer
openalex   +1 more source

FastCat: Autonomous Discovery of Multielement Layered Double Hydroxide Alloy Catalysts for Alkaline Oxygen Evolution Reaction

Advanced Intelligent Discovery, EarlyView.
A machine learning‐guided self‐driving laboratory screened over 500 nickel‐based layered double‐hydroxide catalysts for alkaline oxygen evolution. Out of the eight metals, the robot uncovered a quaternary Ni–Fe–Cr–Co catalysts requiring only 231 mV overpotential to reach 20 mA cm−2.
Nis Fisker‐Bødker, Enzo Raffaele Moretti, Jin Hyun Chang, Tejs Vegge   +3 more
wiley   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Mushroom picking heuristics framework for knapsack-like problems of resource allocation

Zeszyty Naukowe Wyższej Szkoły Finansów i Prawa w Bielsku-Białej
Resource allocation is a complex challenge that extends across diverse disciplines, each presenting its distinct considerations and demands. This intricate task involves the distribution of resources in a manner that meets the needs and objectives of ...
Kateryna Czerniachowska
doaj   +1 more source

Robust heuristics [PDF]

, 2022
Erica Chiang, Nirav Atre, Hugo Sadok
openalex   +1 more source

FIRE‐GNN: Force‐Informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

Advanced Intelligent Discovery, EarlyView.
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu, Claire Schlesinger, Karan Mudaliar, Jordan Leung, Robin Walters, Peter Schindler   +5 more
wiley   +1 more source

Worst case analysis for a general class of on-line lot-sizing heuristics. [PDF]

In this paper we analyze the worst case performance of heuristics for the classical economic lot-sizing problem with time-invariant cost parameters. We consider a general class of on-line heuristics that is often applied in a rolling horizon environment.
Heuvel, W. van den, Wagelmans, A.P.M.
core   +1 more source

Dynamic operator management in meta-heuristics using reinforcement learning: an application to permutation flowshop scheduling problems [PDF]

Maryam Karimi Mamaghan, Mehrdad Mohammadi, Wout Dullaert, Daniele Vigo, Amir Pirayesh   +4 more
openalex   +1 more source