• Title/Summary/Keyword: Ga distribution

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Search Method for Optimal Valve Setting and Location to Reduce Leakage in Water Distribution Networks (배수관망시스템 누수저감을 위한 최적 밸브제어 및 위치탐색 모델 개발)

  • Choi, Jong Sub;Kala, Vairavamoorthy;Ahn, Hyo Won
    • Journal of Korean Society of Water and Wastewater
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    • v.22 no.1
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    • pp.149-157
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    • 2008
  • The reduction of leakage is a major issue of the South Korea water industry. The inclusion of pressure dependent leakage terms in network analysis allows the application of optimization techniques to identify the most effective means of reducing water leakage in distribution networks. This paper proposes a method to find optimal setting and location of control valve for reducing leakage efficiently. The proposed search method differs from previous methods for addressing optimal valve location problem and improves the GA simulation time with guaranteeing for getting the global optimal solution. The strength of this method has been demonstrated by means of case studies. This allows the procedure of optimization to be more robust and computational efficient.

GA-based Optimal Reactive Power Dispatch Taking Account of Transmission Loss Re-distribution and Voltage Dependent Load Models (송전손실 재분배와 전압의존형 부하모델을 적용한 GA기반의 무효전력 최적배분)

  • Chae, Myung-Suk;Lee, Myung-Hwan;Kim, Byung-Seop;Shin, Joong-Rin
    • Proceedings of the KIEE Conference
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    • 2000.07a
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    • pp.350-353
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    • 2000
  • This paper presents an algorithm for Optimal Reactive Power Dispatch(ORPD) problem based on genetic algorithm. Optimal reactive power dispatch is particularized to the minimization of transmission line losses by suitable selection of generator reactive power outputs and transformer tap settings. To reduce system loss and improve voltage profile, two methods, Loss Re-Distribution Algorithm (LRDA) and Voltage Dependent Load Model (VDLM), are applied to ORPD. The proposed methods have been evaluated on the IEEE 30 bus system. Each of results have been compared with result of load flow.

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Optimal Routing Based on Genetic Algorithms for Distribution System Planning (유전 알고리즘을 이용한 배전 계통 계획의 최적 경로 탐색)

  • Kim, Min-Soo;Kim, Byung-Seop;Shin, Joong-Rin;Yim, Han-Suck
    • Proceedings of the KIEE Conference
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    • 1999.11b
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    • pp.137-140
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    • 1999
  • This paper presents an application of the Genetic Algorithms(GA) to solve the optimal routing problem(ORP) in power distribution system planning. Since the ORP is, in general, modeled as a mixed integer problem with some various mathematical constraints, it is hard to solve. In this paper, a new approach was made using the GA method for the ORP to overcome the disadvantages which many conventional methods generally have. For this approach, proposed was in this study a appropriately designed fitness function suited for the ORP. The proposed algorithm has been tested in sample network and the results are presented.

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Optimal Design for Indoor Thermal Environment based on CFD Simulation and Genetic Algorithms (CFD 연성해석과 유전자 알고리즘을 이용한 실내 열환경 최적설계에 관한 연구)

  • 김태연;이윤규
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.16 no.2
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    • pp.111-120
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    • 2004
  • The optimal design method of indoor thermal environment using CFD coupled simulation and genetic algorithms (GA) is developed in this study. CFD could analyze the thermal environment considering the distribution of temperature, velocity, etc. in a room. Therefore, It would be appropriate to use CFD for the optimal design method considering their distribution. In this paper, the optimal design means the most appropriate boundary conditions of the room among the conditions where the design target of indoor therm environment is achieved. Two step optimal indoor thermal environment design method is proposed. It includes the GA for searching the optimal indoor thermal environment design. To examine the performance of this method, the optimal design of hybrid ventilation system, which uses the natural cross ventilation and the radiation-cooling panel is conducted. The optimal design which satisfies the design target (thermal comfort, minimum cooling load, minimum vertical temperature difference) is found using two step optimal design method.

Gallic Acid Hindered Lung Cancer Progression by Inducing Cell Cycle Arrest and Apoptosis in A549 Lung Cancer Cells via PI3K/Akt Pathway

  • Ko, Eul-Bee;Jang, Yin-Gi;Kim, Cho-Won;Go, Ryeo-Eun;Lee, Hong Kyu;Choi, Kyung-Chul
    • Biomolecules & Therapeutics
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    • v.30 no.2
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    • pp.151-161
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    • 2022
  • This study elucidates the anti-cancer potential of gallic acid (GA) as a promising therapeutic agent that exerts its effect by regulating the PI3K/Akt pathway. To prove our research rationale, we used diverse experimental methods such as cell viability assay, colony formation assay, tumor spheroid formation assay, cell cycle analysis, TUNEL assay, Western blot analysis, xenograft mouse model and histological analysis. Treatment with GA inhibited cell proliferation in dose-dependent manner as measured by cell viability assay at 48 h. GA and cisplatin (CDDP) also inhibited colony formation and tumor spheroid formation. In addition, GA and CDDP induced apoptosis, as determined by the distribution of early and late apoptotic cells and DNA fragmentation. Western blot analysis revealed that inhibition of the PI3K/Akt pathway induced upregulation of p53 (tumor suppressor protein), which in turn regulated cell cycle related proteins such as p21, p27, Cyclin D1 and E1, and intrinsic apoptotic proteins such as Bax, Bcl-2 and cleaved caspase-3. The anti-cancer effect of GA was further confirmed in an in vivo mouse model. Intraperitoneal injection with GA for 4 weeks in an A549-derived tumor xenograft model reduced the size of tumor mass. Injection of them downregulated the expression of proliferating cell nuclear antigen and p-Akt, but upregulated the expression of cleaved caspase-3 in tumor tissues. Taken together, these results indicated that GA hindered lung cancer progression by inducing cell cycle arrest and apoptosis, suggesting that GA would be a potential therapeutic agent against non-small cell lung cancer.

Two-Dimensional Analysis of the Characteristics at Heterojunction of MODFET Using FDM (유한 차분법을 이용한 MODFET의 이차원적 해석)

  • Jung, Hak-Gi;Lee, Moon-Key;Kim, Bong-Ryul
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.25 no.11
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    • pp.1373-1379
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    • 1988
  • This paper describes a two-dimensional analysis of the potential distribution and electron concentration of the MODFET at channel using FDM. More exact analysis can be obtained by two-dimensional analysis which considers parasitic effects ignored in one-dimensional analysis. Using Poisson and Shrodinger equations, the potential distribution and the wave function are calculated within a constant error bound. As a result, the relations between the thickness of spacer, doping concentration of (n) AlGaAs layer, and the sheet density of the 2DEG (2 Dimensional Electron Gas) of MODFET at channel are suggested quantitively. The sheet density of the 2DEG is increased as the thickness of the spacer is decreased of the doping concentration of the (n)AlGaAs layer is lowered.

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