Results 121 to 130 of about 75,020 (311)
Application of Heuristic Algorithms in the Tomography Problem for Pre-Mining Anomaly Detection in Coal Seams. [PDF]
Sensors (Basel), 2022 Brociek R +6 more
europepmc +1 more source
Robust Portfolio Optimization with a Hybrid Heuristic Algorithm [PDF]
Estimation errors in both the expected returns and the covariance matrix hamper the constructing of reliable portfolios within the Markowitz framework. Robust techniques that incorporate the uncertainty about the unknown parameters are suggested in the ...
Peter Winker, Björn Fastrich
core
Deep Learning‐Assisted Design of Mechanical Metamaterials
Advanced Intelligent Discovery, EarlyView.This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
Application of Meta-Heuristic Algorithms for Training Neural Networks and Deep Learning Architectures: A Comprehensive Review. [PDF]
Neural Process Lett, 2022 Kaveh M, Mesgari MS.
europepmc +1 more source
Advanced Experiment Design Strategies for Drug Development
Advanced Intelligent Discovery, EarlyView.Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang +3 more
wiley +1 more source
Heuristic methods for cost-oriented assembly line balancing: a survey [PDF]
This paper is concerned with cost-oriented assembly line balancing. This problem occurs especially in the final assembly of automotives, consumer durables or personal computers, where production is still very labour- intensive, and where the wage rates ...
Matthias Amen
core
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
Effective machine learning, Meta-heuristic algorithms and multi-criteria decision making to minimizing human resource turnover. [PDF]
Appl Intell (Dordr), 2023 Pourkhodabakhsh N +2 more
europepmc +1 more source
Bidirectional A*: comparing balanced and symmetric heuristic methods
A widely known algorithm for ¯nding the shortest path in a network is Bidirectional A*. The version of bidirectional A* that is considered the most appropriatehitherto, uses so-called balanced heuristic estimates.
Post, H., Pijls, W.H.L.M.
core
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 +3 more
wiley +1 more source