Results 21 to 30 of about 1,270,531 (339)
Subcontractor Selection using Genetic Algorithm
Procedia Engineering, 2015 AbstractIn the construction industry, subcontracting is a very common practice. Nowadays, most of the general contractors tend to sublet the large portions of construction works to subcontractors and they only act as construction management agencies. In other words, while subcontractors carry out the actual production work, general contractors organize
Barıs Kaplan +2 more
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Application of a single-objective, hybrid genetic algorithm approach to pharmacokinetic model building. [PDF]
, 2012 A limitation in traditional stepwise population pharmacokinetic model building is the difficulty in handling interactions between model components. To address this issue, a method was previously introduced which couples NONMEM parameter estimation and ...
Belani, Chandra P +12 more
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Genetic learning particle swarm optimization [PDF]
, 2016 Social learning in particle swarm optimization (PSO) helps collective efficiency, whereas individual reproduction in genetic algorithm (GA) facilitates global effectiveness.
Chung, Henry Shu-Hung +6 more
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Parallelization of Genetic Algorithm with Sexual Selection
IEEJ Transactions on Electronics, Information and Systems, 2003 AbstractWe propose a parallel genetic algorithm with sexual selection. In genetic algorithms with sexual selection with one population, females keep their traits around local optima by using a lower mutation rate than that of the males, while the males change their traits actively.
Satoshi Maekawa +3 more
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Genetic Algorithm for variable selection
, 2022 This study aims to explore the coding of GA for variable selection. The selected variables will be later used to build a linear regression model and then report model performance. The study will consider three simple variations of GA based on population size (20, 50, 200) and then plot graphs to show whether any of these variations performed better ...
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From omics to AI—mapping the pathogenic pathways in type 2 diabetes
FEBS Letters, EarlyView.Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan +2 more
wiley +1 more source
A new method for feature selection based on fuzzy similarity measures using multi objective genetic algorithm [PDF]
, 2014 Feature selection (FS) is considered to be an important preprocessing step in machine learning and pattern recognition, and feature evaluation is the key issue for constructing a feature selection algorithm.
Hassan Nosrati Nahook, Mahdi Eftekhari
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Complex & Intelligent Systems, 2019 As an intelligent search optimization technique, genetic algorithm (GA) is an important approach for non-deterministic polynomial (NP-hard) and complex nature optimization problems.
Abid Hussain, Y. Muhammad
semanticscholar +1 more source
FEBS Letters, EarlyView.In this work, we reveal how different enzyme binding configurations influence the fluorescence decay of NAD(P)H in live cells using time‐resolved anisotropy imaging and fluorescence lifetime imaging microscopy (FLIM). Mathematical modelling shows that the redox states of the NAD and NADP pools govern these configurations, shaping their fluorescence ...
Thomas S. Blacker +8 more
wiley +1 more source
Roulette-wheel selection via stochastic acceptance
, 2011 Roulette-wheel selection is a frequently used method in genetic and evolutionary algorithms or in modeling of complex networks. Existing routines select one of N individuals using search algorithms of O(N) or O(log(N)) complexity.
Lipowska, Dorota, Lipowski, Adam
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