Results 51 to 60 of about 71,855 (286)
Intelligent Layout Method of Ship Pipelines Based on an Improved Grey Wolf Optimization Algorithm
Journal of Marine Science and EngineeringShip piping arrangement is a nondeterministic polynomial problem. Based on the advantages of the grey wolf optimization (GWO) algorithm, which is simple, easy to implement, and has few adjustment parameters and fast convergence speed, the study adopts ...
Yongjin Lu +4 more
doaj +1 more source
Production scheduling of prefabricated components considering delivery methods
Scientific Reports, 2023 To address the processing scheduling problem involving multiple molds, components, and floors, we propose the Genetic Grey Wolf Optimizer (GGA) as a means to optimize the production scheduling of components in a production line.
Shuqiang Wang, Xi Zhang
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Machines, 2022 The flexible job shop scheduling problem (FJSP) is of great importance for realistic manufacturing, and the problem has been proven to be NP-hard (non-deterministic polynomial time) because of its high computational complexity.
Xiaohong Kong +4 more
doaj +1 more source
Classification and Redshift Estimation in Multi-Color Surveys [PDF]
, 2000 We present a photometric method for identifying stars, galaxies and quasars in multi-color surveys and estimating multi-color redshifts for the extragalactic objects. We use a library of >65000 color templates for comparison with observed objects.
Meisenheimer, Klaus +2 more
core +3 more sources
A Scalable Framework for Comprehensive Typing of Polymorphic Immune Genes from Long‐Read Data
Advanced Science, EarlyView.SpecImmune introduces a unified computational framework optimized for long‐read sequencing to resolve over 400 highly polymorphic immune genes. This scalable approach achieves high‐resolution typing, enabling the discovery of cross‐family co‐evolutionary networks and population‐specific diversity.
Shuai Wang +5 more
wiley +1 more source
Journal of Algorithms & Computational Technology, 2019 Aiming at the problem of wireless sensor network node coverage optimization with obstacles in the monitoring area, based on the grey wolf optimizer algorithm, this paper proposes an improved grey wolf optimizer (IGWO) algorithm to improve the ...
Zhendong Wang +5 more
doaj +1 more source
An Effective Discrete Grey Wolf Optimization Algorithm for Solving the Packing Problem
IEEE Access, 2020 This article proposes a novel discrete grey wolf optimization for the packing problem, called the two-dimensional strip packing (2DSP) problem without guillotine constraint.
Peng Wang, Yunqing Rao, Qiang Luo
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An Improved Grey Wolf Optimization Algorithm with Variable Weights
Computational Intelligence and Neuroscience, 2019 With a hypothesis that the social hierarchy of the grey wolves would be also followed in their searching positions, an improved grey wolf optimization (GWO) algorithm with variable weights (VW-GWO) is proposed. And to reduce the probability of being trapped in local optima, a new governing equation of the controlling parameter is also proposed ...
Zheng-Ming Gao, Juan Zhao
openaire +2 more sources
Advanced Intelligent Systems, EarlyView.Natural fliers achieve remarkable aerial performance through diverse wing neuromechanical systems integrating actuation, sensing, and control. This study synthesizes neuromechanical architectures in insects and hummingbirds, identifying two key functional types‐Dual Neural‐Mechanical Oscillator and Neurally‐modulated Mechanical Oscillator‐ and ...
Suyash Agrawal +4 more
wiley +1 more source
Scientific ReportsThis study presents the K-means clustering-based grey wolf optimizer, a new algorithm intended to improve the optimization capabilities of the conventional grey wolf optimizer in order to address the problem of data clustering.
Manoharan Premkumar +7 more
doaj +1 more source