Results 121 to 130 of about 376,950 (319)
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 +3 more
wiley +1 more source
Improved Heuristics for the Early/Tardy Scheduling Problem with No Idle Time [PDF]
In this paper we consider the single machine earliness/tardiness scheduling problem with no idle time. We present two new heuristics, a dispatch rule and a greedy procedure, and also consider the best of the existing dispatch rules.
Jorge M. S. Valente, Rui A. F. S. Alves
core
Worst case analysis of two heuristics for the set partitioning problem [PDF]
, 1987 Alberto Marchetti-Spaccamela, A. Pelaggi
openalex +1 more source
Advanced Intelligent Systems, EarlyView.This article offers a comprehensive review of topic modeling techniques, tracing their evolution from inception to recent developments. It explores methods such as latent Dirichlet allocation, latent semantic analysis, non‐negative matrix factorization, probabilistic latent semantic analysis, Top2Vec, and BERTopic, highlighting their strengths ...
Pratima Kumari +6 more
wiley +1 more source
A Task and Motion Planning Framework for Partially Observable Household Manipulation Scenes
Advanced Intelligent Systems, EarlyView.This paper presents a novel TAMP framework tackling partial observability, cluttered scenes, and vague goals via symbolic reasoning and occlusion‐aware planning. It outperforms prior learning, policy, and LLM‐based methods in six real and simulated household tasks.
Yuhong Ma +3 more
wiley +1 more source
How Much Is Too Much? Facing Practical Limitations in Hyper-Heuristic Design for Packing Problems
AlgorithmsHyper-heuristics, or simply heuristics to choose heuristics, represent a powerful approach to tackling complex optimization problems. These methods decide which heuristic to apply throughout the solving process, aiming to improve the solving process ...
José Carlos Ortiz-Bayliss +2 more
doaj +1 more source
Conflict and Surprise: Heuristics for Model Revision [PDF]
, 1991 Kathryn Blackmond Laskey
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A Novel Semi‐Automated Pipeline for Optimizing 3D‐Printed Drug Formulations
Advanced Intelligent Systems, EarlyView.A novel, semi‐automated deep learning and differential evolution pipeline designed for generating medicines for 3D‐printed medicines is introduced. This pipeline successfully generates a diverse range of drug formulations with an 80% printing success rate and 92% accuracy in predicting printing parameters.
Youssef Abdalla +8 more
wiley +1 more source
New Methods for the Construction of Test Cases for Partitioning Heuristics [PDF]
, 1993 Youssef Saab
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