• Korean Architects
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• s.623
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• pp.16-17
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• 2021

• Journal of the Korean Institute of Navigation
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• v.22 no.2
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• pp.53-63
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• 1998

This study aims at suggesting a concepturla model of personnel elitism, and at evaluating the model based on a shipping company case. Specifically, it asks whether the company has met the conditions nessary for the attainment of personnel litism prescribed by the conceptural model. In order to evalutate the model, questionnaire and interview methods were adopted. The area of survey includes the quality of personnel , the efficiency level of work processes. and the level of work load. This study concludes that the rationalization of work processes and training and development of personnel are necessary for a company to realize personnel elitism.

• The Korean Nurse
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• v.27 no.4 s.147
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• pp.47-53
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• 1988

• Korean Architects
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• s.600
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• pp.28-31
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• 2019

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.48 no.3
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• pp.203-211
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• 1999

This paper presents a new approach on genetic on genetic algorithm to economic dispatch problem for valve point discontinuities. Proposed approach in this paper on genetic algorithms improves the performance to solve economic dispatch problem for valve point discontivuities through improved death penalty method, generation-apart elitism, atavism and sexual selection with sexual distinction. Numerical results on a test system consisting of 13 thermal units show that the proposed approach is faster, more robust and powerful than conventional genetic algorithms.

• Journal of Distribution Science
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• v.18 no.3
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• pp.37-41
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• 2020

Purpose: The purpose of this paper is to examine the recent resurgence of popularism and the possible impacts it may have on contemporary business and economics. Research design, data and methodology: This is an exploratory case study that examines the rise of popularism and identifies and analyzes the likely implications for contemporary business and economics. Results: Although populists tend to reject elitism, capitalism, economic globalization, and political establishment, their ethnocentric behavior is no different from those of the corrupt political and economic elites. Popularism does enable nationalism and protectionism and negatively impacts business and economic growth. Conclusions: Popularism existed for a long time, and this phenomenon will continue to exist as long as a triggered mechanism exist, e.g., income inequality, resurgence of immigration, recession, insufficient factors of resources and social welfare. The recent rise of popularism is not a fad or a short-lived anti-establishment and anti-elitism movements but, rather, a force to be reckoned with in the near future. The rise of economic nationalism limits international trade, integration, and cooperation. As a result, international capital, service, and product flows will decline, and countries and multinational corporations have to develop and restructure their international supply and value chain to cope with this phenomenon.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.50 no.7
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• pp.324-332
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• 2001

In this paper, it is suggested that the selection method of parameter of Power System Stabilizer(PSS) with robustness in low frequency oscillation for Static VAR Compensator(SVC) using a Real Variable Elitism Genetic Algorithm(RVEGA). A SVC, one of the Flexible AC Transmission System(FACTS), constructed by a fixed capacitor(FC) and a thyristor controlled reactor(TCR), is designed and implemented to improve the damping of a synchronous generator, as well as controlling the system voltage. The proposed PSS parameters are optimized using RVEGA in order to maintain optimal operation of generator under the various operating conditions. To decrease the computational time, real variable string is adopted. To verify the robustness of the proposed method, we considered the dynamic response of generator speed deviation and generator terminal voltage by applying a power fluctuation and three-phase fault at heavy load, normal load and light load. Thus, we prove the usefulness of proposed method to improve the stability of single machine-infinite bus with SVC system.

• Korean Journal of Remote Sensing
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• v.34 no.1
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• pp.151-166
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• 2018

This paper compares the four selections of performance used in the application of genetic algorithms (GAs) to automatically optimize multispectral pixel cluster for unsupervised classification from KOMPSAT-3 data, since the selection among three main types of operators including crossover and mutation is the driving force to determine the overall operations in the clustering GAs. Experimental results demonstrate that the tournament selection obtains a better performance than the other selections, especially for both the number of generation and the convergence rate. However, it is computationally more expensive than the elitism selection with the slowest convergence rate in the comparison, which has less probability of getting optimum cluster centers than the other selections. Both the ranked-based selection and the proportional roulette wheel selection show similar performance in the average Euclidean distance using the pixel clustering, even the ranked-based is computationally much more expensive than the proportional roulette. With respect to finding global optimum, the tournament selection has higher potential to reach the global optimum prior to the ranked-based selection which spends a lot of computational time in fitness smoothing. The tournament selection-based clustering GA is used to successfully classify the KOMPSAT-3 multispectral data achieving the sufficient the matic accuracy assessment (namely, the achieved Kappa coefficient value of 0.923).

• Proceedings of the IEEK Conference
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• 2008.06a
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• pp.651-652
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• 2008

In this paper, we suggest a new multiobjective optimization algorithm which is based on the simulated annealing(SA) method. The proposed algorithm uses population-based simulated annealing and adapts elitism in the process of selection.

• Proceedings of the KIEE Conference
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• 1997.07c
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• pp.1106-1108
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• 1997

This paper presents a new approach on genetic algorithms to economic dispatch problem for valve point discontinuities. Proposed approach in this paper on genetic algorithms improves the performance to solve economic dispatch problem for valve point discontinuities through combination in penalty function with death penalty, generation-apart elitism, atavism and heuristic crossover. Numerical results on an actual utility system consisted of 13 thermal units show that the proposed approach is faster and robuster than classical genetic algorithm.