• Title/Summary/Keyword: Genetic Operation

Search Result 390, Processing Time 0.03 seconds

Quay Crane Dual-cycle Plan considering Yard Tractor waiting time (야드 트랙터 대기시간을 고려한 크레인 듀얼 사이클 계획)

  • Chung, Chang-Yun;Shin, Jae-Young
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
    • /
    • 2009.10a
    • /
    • pp.220-221
    • /
    • 2009
  • One of the important performance measure for productivity at container terminals is the working productivity in the quay. working scheduling of quay cranes (QCs) gives a significant impact on the quay working productivity. The recent managers of the terminals pay high interests in equipment investment and operation methods with a new concept in order to enhance the quay working productivity. The double cycle or dual cycle, which is a method to increase the quay productivity with no application of new equipment, but with the change of operations, has been received strong attention in academic research. The majority of studies until this time has been realized the quay work as the bottleneck and focused on those works. However, if the QCs do notver, it the Cs d-trotver,(CT) if t the Cs, there would be the pos ibilf tes that the effectiveness of them is decreasedveaused by the longer, if t the Cs. Thus, this paper, suggests the solutions on the con th scheduling for the dual cycle operation considering the YT.

  • PDF

A Case of Hypospadias in Korean Native Calf (한우 송아지에서의 요도하열(hypospadias) 발생 증례)

  • Cho, Yong-Il;Lee, Sung-Soo;Han, Sang-Hyun;Ko, Moon-Suck;Suh, Guk-Hyun;Hur, Tai-Young;Kang, Seog-Jin;Kang, Seong-Soo
    • Journal of Veterinary Clinics
    • /
    • v.24 no.2
    • /
    • pp.288-291
    • /
    • 2007
  • Hypospadias is a malformation in which the urethra open on the ventral side of the penis and its frequency is about from 0.3% to 0.5% male birth in human. It is considered a disorder both genetic and environmental factors involves in pathogenesis. A KNC(Korean native calf) showing symptoms of fusion defect of the male ventral urethra, penile defect, bifid scrotum and low body weigh was born. To prevent an ascending urinary tract infection, dermatitis and loss of hair, surgical operation was performed to make a genitals like a female. After the operation, the KNC got a regenerative hair and normal urination. However the KNC became anorexia, loss in weight and weak. Seventy days after birth, the KNC died. The view of autopsy was a yellowish hepatomegaly, hydronephrosis, closed ureter and complex disorder in interanl organ. The symptoms of hepatomegaly and hydronephrosis could be due to a fluid therapy as a consequence of ureter obstruction. The normal urination of the KNC before it got sick, suggested that ureter obstruction in the case of this KNC was formed at its postnatal growth stage.

A Two-stage Stochastic Programming Model for Optimal Reactive Power Dispatch with High Penetration Level of Wind Generation

  • Cui, Wei;Yan, Wei;Lee, Wei-Jen;Zhao, Xia;Ren, Zhouyang;Wang, Cong
    • Journal of Electrical Engineering and Technology
    • /
    • v.12 no.1
    • /
    • pp.53-63
    • /
    • 2017
  • The increasing of wind power penetration level presents challenges in classical optimal reactive power dispatch (ORPD) which is usually formulated as a deterministic optimization problem. This paper proposes a two-stage stochastic programming model for ORPD by considering the uncertainties of wind speed and load in a specified time interval. To avoid the excessive operation, the schedule of compensators will be determined in the first-stage while accounting for the costs of adjusting the compensators (CACs). Under uncertainty effects, on-load tap changer (OLTC) and generator in the second-stage will compensate the mismatch caused by the first-stage decision. The objective of the proposed model is to minimize the sum of CACs and the expected energy loss. The stochastic behavior is formulated by three-point estimate method (TPEM) to convert the stochastic programming into equivalent deterministic problem. A hybrid Genetic Algorithm-Interior Point Method is utilized to solve this large-scale mixed-integer nonlinear stochastic problem. Two case studies on IEEE 14-bus and IEEE 118-bus system are provided to illustrate the effectiveness of the proposed method.

A Study on the Archaeological Approach in Korean Traditional Space Design - Focusing on the Archaeological Statement of Foucault - (한국 전통공간디자인의 고고학적 접근에 관한 연구 - 푸코의 고고학적 언표를 중심으로 -)

  • Park, Kyung-Ae;Park, Young-Mok
    • Korean Institute of Interior Design Journal
    • /
    • v.19 no.2
    • /
    • pp.99-106
    • /
    • 2010
  • This study is about Foucault's conceptual and methodological relevance for structural analysis of Korean traditional space design history. By Foucault's Theory, regionalism is product of the instrumentality of space, power, knowledge and provide the basis for making the operation of power both spatial and temporal. The purpose of this study is to establish topographical map of historical progress and to shed new light on the forming of identity in Korean traditional space design on the poststructural-archaeological aspect. The process of this study is illustrated as follows: At first, it suggests Foucault's 'Theory of archaeology'. It mentions 'historical apriori' and archive, collateral space and general grammar as theoretical background of archaeological logic. Secondly, it clarifies 'statements' depending on the conditions that is 'episteme' in which they emerge and exist within a field of discourse. And it discuss Korean traditional space design concept as a social product on the situated character of interaction in time-space. Finally, it studies genetic variation process of Korean traditional space design based on the social progress in Korean society. And it analyses practical actions of 'Statements' in terms of general grammar and textuality.

A Proposal of GA Using Symbiotic Evolutionary Viruses and Its Virus Evaluation Techniques

  • Sakakura, Yoshiaki;Taniguchi, Noriyuki;Hoshino, Yukinobu;Kamei, Katsuari
    • Proceedings of the Korean Institute of Intelligent Systems Conference
    • /
    • 2003.09a
    • /
    • pp.679-682
    • /
    • 2003
  • In this paper, we propose a Genetic Algorithm (GA) using symbiotic evolutionary viruses. Our GA is based on both the building block hypothesis and the virus theory of evolution. The proposed GA aims to control a destruction of building blocks by discovering, keeping, and propagating of building blocks based on virus operation. Concretely, we prepare the group of individuals and the group of viruses. In our GA, the group of individuals searches solutions and the group of viruses searches building blocks. These searches done based on the symbiotic relation of both groups. Also, our GA has two types of virus evaluation techniques. One is that each virus is evaluated by the difference of the fitness of an individual between before and after infection of virus. Another is that all viruses aye evaluated by the difference of the fitness of an individual between before and after infection of all viruses. Furthermore, we applied the proposed GA to the minimum value search problem of a test function which has some local solutions far from the optimal solution. And, we discuss a difference of behaviors of the proposed GA based on each virus evaluation techniques.

  • PDF

Multiobjective Hybrid GA for Constraints-based FMS Scheduling in make-to-order Manufacturing

  • Kim, Kwan-Woo;Mitsuo Gen;Hwang, Rea-Kook;Genji Yamazaki
    • Proceedings of the Korean Institute of Intelligent Systems Conference
    • /
    • 2003.09a
    • /
    • pp.187-190
    • /
    • 2003
  • Many manufacturing companies consider the integrated and concurrent scheduling because they need the global optimization technology that could manufacture various products more responsive to customer needs. In this paper, we propose an advanced scheduling model to generate the schedules considering resource constraints and precedence constraints in make-to-order (MTO) manufacturing environments. Precedence of work- in-process(WIP) and resources constraints have recently emerged as one of the main constraints in advanced scheduling problems. The advanced scheduling problems is formulated as a multiobjective mathematical model for generating operation schedules which are obeyed resources constraints, alternative workstations of operations and the precedence constraints of WIP in MTO manufacturing. For effectively solving the advanced scheduling problem, the multi-objective hybrid genetic algorithm (m-hGA) is proposed in this paper. The m-hGA is to minimize the makespan, total flow time of order, and maximum tardiness for each order, simultaneously. The m-hGA approach with local search-based mutation through swap mutation is developed to solve the advanced scheduling problem. Numerical example is tested and presented for advanced scheduling problems with various orders to describe the performance of the proposed m-hGA.

  • PDF

Shell platings manufacturing M/H inference and comparison using Artificial Neural Network and Gentic Programming (인공신경망과 유전적 프로그래밍을 이용한 선체 곡가공 M/H 추론 및 비교)

  • Shin, Yong-Wook;Ha, Duk-Ki;Jo, Moon-Hee;Kim, Su-Young
    • Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
    • /
    • 2003.10a
    • /
    • pp.163-166
    • /
    • 2003
  • Hull form designers have to design a ship with satisfying an economical, technical and environmental demand. When it is concerned by a technical and environmental demand, there will be a economical demand left to criticize optimization. In this case, there were used to be requirements which needs to meet only a best performance not concerning about input of Human resource. Life cycle's cost contains building cost and operation cost so that now we need to check Man Hour cost in building a ship. This research shows a correlation between hull form information, i.e. curvature, length, breadth and thickness of surface and Man Hour of the Shell plating manufacture with using Artificial Neural Network and Gentic Programming. This study will support to classify initial work, to have a high assumption possible through predicting a Man Hour and to provide a guide book to infer a building cost and a economical optimization hull form.

  • PDF

Efficient Strategy to Identify Gene-Gene Interactions and Its Application to Type 2 Diabetes

  • Li, Donghe;Wo, Sungho
    • Genomics & Informatics
    • /
    • v.14 no.4
    • /
    • pp.160-165
    • /
    • 2016
  • Over the past decade, the detection of gene-gene interactions has become more and more popular in the field of genome-wide association studies (GWASs). The goal of the GWAS is to identify genetic susceptibility to complex diseases by assaying and analyzing hundreds of thousands of single-nucleotide polymorphisms. However, such tests are computationally demanding and methodologically challenging. Recently, a simple but powerful method, named "BOolean Operation-based Screening and Testing" (BOOST), was proposed for genome-wide gene-gene interaction analyses. BOOST was designed with a Boolean representation of genotype data and is approximately equivalent to the log-linear model. It is extremely fast, and genome-wide gene-gene interaction analyses can be completed within a few hours. However, BOOST can not adjust for covariate effects, and its type-1 error control is not correct. Thus, we considered two-step approaches for gene-gene interaction analyses. First, we selected gene-gene interactions with BOOST and applied logistic regression with covariate adjustments to select gene-gene interactions. We applied the two-step approach to type 2 diabetes (T2D) in the Korea Association Resource (KARE) cohort and identified some promising pairs of single-nucleotide polymorphisms associated with T2D.

Pump Scheduling Technique for Optimal Operation of Water Distribution System Using Multi-Objective Genetic Algorithms (다목적 유전자알고리즘을 이용한 상수도 관망운영 펌프스케쥴링에 관한 연구)

  • Woo, Hyoung-Min;Kim, Tae-Soon;Heo, Jun-Haeng;Cho, Won-Cheol
    • Proceedings of the Korea Water Resources Association Conference
    • /
    • 2006.05a
    • /
    • pp.1405-1409
    • /
    • 2006
  • 본 연구는 다목적 유전자알고리즘을 이용해서 상수도관망의 펌프 스케쥴링을 최적화하는 방안을 도출하기 위한 연구이다. 상수도관망의 시스템을 모의하기 위한 방법으로는 EPANET을 이용해서 각각의 결정변수에 관한 펌프운영비용을 산정하였으며, 이렇게 계산된 편익함수의 값을 다목적 유전자알고리즘의 목적함수로 이용해서, 펌프스케쥴링에 관한 여러 가지 대안을 제시하였다. 상수도관망의 운영을 위해서는 안정적인 용수공급이 가능하면서도 최소한의 에너지비용을 필요로 하는 펌프운영방식을 필요로 하게 되는데, 이때 용수수요량의 변화 등 운영여건이 바뀌게 되더라도, 수리적 안정성이 확보되는 범위내에서의 최적 운영방안이 필요하게 된다. 이와 같은 펌프운영방안의 최적화는 상당히 많은 수의 결정변수를 요구하게 되고, 결정변수의 탐색범위 또한 상당히 넓은 경우가 대부분이기 때문에, 국부최적해에 수렴하는 현상이 나타나지 않고, 넓은 범위의 결정변수 영역을 빠르게 탐색할 수 있으며, 여러 가지 대안을 효율적으로 제시할 수 있는 다목적 유전자알고리즘을 사용하였다. 본 연구를 통하여 개발된 상수도 관망 펌프 스케쥴링 기법을 이용하면, 운영여건의 변화에 따른 펌프운영비용의 최소화 여부를 검토할 수 있으며, 이를 바탕으로 각 단계별 수도시설을 종합적으로 고려한 경제적 운영방안의 검토가 가능할 것으로 판단된다.

  • PDF

Estimation of Wind Turbine Power Generation using Cascade Architectures of Fuzzy-Neural Networks (종속형 퍼지-뉴럴 네트워크를 이용한 풍력발전기 출력 예측)

  • Kim, Seong-Min;Lee, Dong-Hoon;Jang, Jong-In;Won, Jung-Cheol;Kang, Tae-Ho;Yim, Yeong-Keun;Han, Chang-Wook
    • Proceedings of the KIEE Conference
    • /
    • 2009.07a
    • /
    • pp.1098_1099
    • /
    • 2009
  • In this paper, we present the estimation of wind turbine power generation using Cascade Architectures of Fuzzy Neural Networks(CAFNN). The proposed model uses the wind speed average, the standard deviation and the past output power as input data. The CAFNN identification process uses a 10-min average wind speed with its standard deviation. The method for rule-based fuzzy modeling uses Gaussian membership function. It has three fuzzy variables with three modifiable parameters. The CAFNN's configuration has three Logic Processors(LP) that are constructed cascade architecture and an effective optimization method uses two-level genetic algorithm. First, The CAFNN is trained with one-day average input variables. Once the CAFNN has been trained, test data are used without any update. The main advantage of using CAFNN is having simple structure of system with many input variables. Therefore, The proposed CAFNN technique is useful to predict the wind turbine(WT) power effectively and hence that information will be helpful to decide the control strategy for the WT system operation and application.

  • PDF