Results 81 to 90 of about 53,943 (265)
Ain Shams Engineering Journal, 2018 This paper presents a comparison between four modern heuristic algorithms for optimal loss reduction of power distribution network equipped with renewable energy resources.
Amr M. Ibrahim, Rania A. Swief
doaj +1 more source
Autonomous High‐Throughput Characterization of Liquid‐Liquid Phase Behavior
Advanced Science, EarlyView.This study introduces an automated dual modality platform, combining asymmetric capacitance deviation and multiangle turbidimetry, for high‐throughput characterization of liquid‐liquid phase behavior across chemically diverse fluid systems. The platform enables miscibility classification, resolution of phase separation kinetics and emulsion stability ...
Tarek Eid +3 more
wiley +1 more source
A Genetic Algorithm to Minimize the Total Tardiness for M-Machine Permutation Flowshop Problems
Journal of Entrepreneurship, Management and Innovation, 2012 The m-machine, n-job, permutation flowshop problem with the total tardiness objective is a common scheduling problem, known to be NP-hard. Branch and bound, the usual approach to finding an optimal solution, experiences difficulty when n exceeds 20. Here,
Chia-Shin Chung +3 more
doaj +1 more source
A heuristic algorithm for the band collocation problem
2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT), 2016 In this paper we present a heuristic algorithm for the The Band Collocation Problem (BCP) which may have some applications in the field of telecommunication. First, we give the definition the BCP. Second, we explain how we create the problem instances with known optimal solutions as a library. Third, we propose the heuristic algorithm.
Gursoy, Arif +3 more
openaire +3 more sources
Advanced Science, EarlyView.Autonomous laboratories can now synthesize materials faster than experts can interpret the resulting diffraction data. A probabilistic framework combines refinement‐fit metrics with large language model‐derived chemical reasoning to rank competing phase interpretations and flag those unsuitable for autonomous use.
Olympia Dartsi +7 more
wiley +1 more source
A Generative Neuro‐Symbolic AI for Protein Sequence Design
Advanced Science, EarlyView.We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne +12 more
wiley +1 more source
Advanced Science, EarlyView.DDSurfer reconstructs cortical surfaces directly from diffusion MRI without requiring T1‐weighted scans. By fusing complementary microstructural features and learning diffeomorphic deformations, it efficiently generates accurate white matter and pial surfaces, improving geometric fidelity and morphometric reliability across datasets for robust surface ...
Chengjin Li +10 more
wiley +1 more source
Subversion of Atypical Mucin Traps by a Spore‐Coat Effector Blocks Cellular Immunity in Drosophila
Advanced Science, EarlyView.While the entomopathogenic fungus Metarhizium robertsii can evade insect humoral immunity, its subversion of cellular defenses is still elusive. We identify Eac1 as a spore‐coat protein essential for infecting drosophilids by targeting atypical mucins (Sgf1 and Sgf2), which can entrap spores in a gel matrix and thereby facilitate hemocyte encapsulation.
Shiqin Li +7 more
wiley +1 more source
Advanced Science, EarlyView.Computational and structure‐guided arginine scanning rewires the DNA‐binding interface of APE1 to create APE1‐Evo, a hyperactive yet specific AP endonuclease. Integrated into the NAPTUNE‐V2.0 cascade, APE1‐Evo enables amplification‐free, multiplex viral RNA sensing for dengue virus and influenza A/B, highlighting a general strategy for engineering ...
Junlan Wang +20 more
wiley +1 more source
Data Clustering on Breast Cancer Data Using Firefly Algorithm with Golden Ratio Method
Advances in Electrical and Computer Engineering, 2015 Heuristic methods are problem solving methods. In general, they obtain near-optimal solutions, and they do not take the care of provability of this case.
DEMIR, M., KARCI, A.
doaj +1 more source