Wyniki wyszukiwania - BazTech

1

Applying Hunger Game Search (HGS) for selecting significant blood indicators for early prediction of ICU COVID-19 severity

Sayed Safynaz AbdEl-Fattah, ElKorany Abeer, Sayed Sabah

Computer Science

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2023

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T. 24 (1)

113--136

EN

This paper introduces an early prognostic model for attempting to predict the severity of patients for ICU admission and detect the most significant features that affect the prediction process using clinical blood data. The proposed model predicts ICU admission for high-severity patients during the first two hours of hospital admission, which would help assist clinicians in decision-making and enable the efficient use of hospital resources. The Hunger Game search (HGS) meta-heuristic algorithm and a support vector machine (SVM) have been integrated to build the proposed prediction model. Furthermore, these have been used for selecting the most informative features from blood test data. Experiments have shown that using HGS for selecting features with the SVM classifier achieved excellent results as compared with four other meta-heuristic algorithms. The model that used the features that were selected by the HGS algorithm accomplished the topmost results (98.6 and 96.5%) for the best and mean accuracy, respectively, as compared to using all of the features that were selected by other popular optimization algorithms.

2

An Application of Hierarchical Genetic Strategy in sequential scheduling of permutated independent jobs

Kołodziej J., Rybarski M.

Prace Naukowe Politechniki Warszawskiej. Elektronika

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2009

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z. 169

95-102

EN

The aim of this paper is to present an implementation of Hierarchic Genetic Strategy (HGS) in solving the Permutation Flowshop Scheduling Problem (PFSP). We defined a hierarchic scheduler based on HGS structure for the exploration of the wide and complicated optimization landscape studied by Reeves. The objective of our work is to examine several variations of HGS operators in order to identify a configuration of operators and parameters that works best for the problem. From the experimental study we observed that HGS implementation outperforms existing schedulers in many of considered instances of a static benchmark for the problem.

3

Grammar-based model of Hierarchical Genetic Strategy - a preliminary study

Kołodziej J.

Prace Naukowe Politechniki Warszawskiej. Elektronika

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2008

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z. 165

95-102

EN

The scope of this paper is the construction of Hierarchical Genetic Strategy theoretical model based on the L-systems framework. The model was defined in the case of inactive prefix comparison procedure of HGS. We applied Vose's theory in a short formal analysis of basic search mechanisms implemented in the strategy.

4

Asymptotic guarantee of success of the hp-HGS strategy

Schaefer R., Bambosz B., Paszyński M.

Prace Naukowe Politechniki Warszawskiej. Elektronika

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2008

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z. 165

189-196

EN

We presented the new hp-UGS (hp adaptive FEM, Hierarchical Genetic Strategy) multi-deme, genetic strategy which cau be used for solving parametric inverse problems formulated as the global optimization ones. Its efficiency follows from the coupled adaptation of accuracy derived from the proper balance between the accuracy of hp-FEM used for solving direct problem and the accuracy of solving optimization problem. It is shown, that hp-HGS can find at least the same set of local extremes as the Simple Genetic Algorithm (SGA). Moreover, the results of asymptotic analysis that verify much less computational cost of hp-HGS are recalled from the previous papers.

5

HGSNash evolutionary strategy as an effective method of detecting the Nash equilibria in n-person

Jauernig K., Kołodziej J., Stysło M.

Prace Naukowe Politechniki Warszawskiej. Elektronika

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2006

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z. 156

171-178

EN

We present a parallel hierarchical evolutionary strategy HGSNash as a new method of detecting the Nash equilibria in n-person non-cooperative games. The problem of finding the equilibrium points is formulated as a global optimization problem. A definition of the strategy and results of some simple numerical experiments are also included.