• 산업공학
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• 제9권2호
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• pp.39-45
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• 1996

This paper investigates the problems of grouping N products on an assembly line with an objective of maximizing the option grouping rate. Before developing a mixed model grouping algorithm, simulation studies are committed for developing operating rules and evaluating the layout production systems. A mixed model grouping algorithm is suggested and it is applied to the color selection lane in automobile production system, which reveals a high mixed model grouping rate.

• 한국정밀공학회지
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• 제12권6호
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• pp.27-36
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• 1995

This paper covers algorithms to determine a machine assignment strategy to locations on a single straight track by minimizing the total backtrack distance. Three different algorithms ar presented: an efficient heuristic procedure, the branch-and-bound algorithm, and the nerual network approach. Simulation results show that the proposed algorithms have potential power to design an on-line optimizer.

• 한국수자원학회논문집
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• 제44권10호
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• pp.777-786
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• 2011

우수관망의 최적 설계에 관한 기존의 연구 모형들은 설계강우에 대하여 관거의 연결, 관경 및 관 경사 등을 최소의 비용을 목적으로 최적화하여 왔다. 그런데 우수관망에서의 관거 내의 흐름은 관경, 관 경사와 특히 관망의 구성 형태에 따라서크게달라진다. 기존의최적우수관망설계모형들은설계유량을만족시키는것에국한되었으며, 설계기준을초과하는 강우에 따른 침수의 발생은 관망의 설계에 어떠한 고려도 되지 않았다. 본 연구에서는 우수관망을 구성함에 있어서 관거 내 흐름을 분산시키고 제어함을 목적으로 한다. 이것은 관망 구성에 따른 관거 내 흐름의 중첩효과를 제어함으로써 가능하며, 이러한 흐름의 제어를 통하여 설계기준을 초과하는 강우에 대해서 우수관망에서의 내수침수 발생은 저감될 수 있다. 본 연구에의 최적 우수관망 설계 모형(Optimal Sewer Layout Model, OSLM)은 내수침수 발생을 저감시키기 위해 흐름의 중첩효과를 고려하여 관거 내 흐름을 분산시키고 제어하기 위하여 개발되었다. 이 모형은 최적화를 위하여 유전자알고리즘(Genetic Algorithm, GA)를 이용하였으며, 수리학적 분석을 위하여 SWMM(Storm Water Management Model)을 연계하였다. 모형의 적용은 유역면적 44 ha의 서울시 하계 배수분구에 이루어졌으며, 현재의 우수관망 구성에 대하여 도출된 최적 우수관망에서는 지속기간 30분의 설계강우에 대하여 7.1%의 유출구 첨두유출량 감소와 20년 빈도의 지속기간 1시간 초과강우에 대하여 24.2%의 침수 발생량 저감 효과를 나타내었다.

• Journal of Construction Engineering and Project Management
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• 제7권2호
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• pp.1-10
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• 2017

The Clonal Selection Algorithm (CSA) is an algorithm inspired by the human immune system mechanism. In CSA, several parameters needs to be optimized by large amount of sensitivity analysis for the optimal results. They limit the accuracy of the results due to the uncertainty and subjectivity. Adaptive Clonal Selection (ACS), a modified version of CSA, is developed as an algorithm without controls by pre-defined parameters in terms of selection process and mutation strength. In this paper, we discuss the ACS in detail and present its implementation in construction site utilization planning (CSUP). When applied to a developed model published in research literature, it proves that the ACS are capable of searching the optimal layout of temporary facilities on construction site based on the result of objective function, especially when the parameterization process is considered. Although the ACS still needs some improvements, obtaining a promising result when working on a same case study computed by Genetic Algorithm and Electimze algorithm prove its potential in solving more complex construction optimization problems in the future.

• 산업경영시스템학회지
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• 제26권4호
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• pp.23-30
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• 2003

This study develops an efficient heuristic which is based on genetic approach for AGVs flow path layout problem. The suggested solution approach uses a algorithm to replace two 0-1 integer programming models and a branch-and-bound search algorithm. Genetic algorithms are a class of heuristic and optimization techniques that imitate the natural selection and evolutionary process. The solution is to determine the flow direction of line in network AGVs. The encoding of the solutions into binary strings is presented, as well as the genetic operators used by the algorithm. Genetic algorithm procedure is suggested, and a simple illustrative example is shown to explain the procedure.

• 대한전자공학회논문지TC
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• 제46권5호
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• pp.1-7
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• 2009

센서네트워크를 포함한 다양한 모바일 네트워크를 구축하는 경우, 네트워크를 구성하는 단말 또는 노드들을 상호연결 하기 위한 배치 및 그래프를 찾아내는 문제가 대두된다. 이러한 문제를 해결 할 수 있는 공통적인 scheme을 제시하고, 이를 기반으로 구성되는 알고리즘의 실행시간 및 그 결과의 바운드를 수리적으로 정립하면, 관련 시스템 구축의 타당성을 정확하게 평가할 수 있게 된다. 본 논문은 이러한 문제를 대표하는 EMST(Euclidean Minimum Spanning Tree) 문제를 대상으로 하여 분산환경 기반에서 EMST를 병렬처리 형태로 구성할 수 있는 scheme을 제공하고, 이 scheme에 의해 구해 질 수 있는 배치 및 그래프가 EMST와 최대로 어느 정도의 차이를 가지게 되는 지를 판단할 수 있는 기준을 제시한다. 그리고 이 scheme에 의해 구성되는 알고리즘의 실행시간 상한을 제시한다.

• Journal of Power Electronics
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• 제17권2호
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• pp.411-421
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• 2017

An approach based on a 2D lumped model is presented to quantify the voltage transfer gain (VTG) in power converter low power planes. The advantage of the modeling approach is the ease with which typical noise reduction devices such as decoupling capacitors or ferrite beads can be integrated into the model. This feature is enforced by a new modular approach based on effective matrix partitioning, which is presented in the paper. This partitioning is used to decouple power plane equations from external device impedance, which avoids the need for rewriting of a whole set of equation at every change. The model is quickly solved in the frequency domain, which is well suited for an automated layout optimization algorithm. Using frequency domain modeling also allows the integration of frequency-dependent devices such inductors and capacitors, which are required for realistic computation results. In order to check the precision of the modeling approach, VTGs for several layout configurations are computed and compared with experimental measurements based on scattering parameters.

• 한국해양공학회:학술대회논문집
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• 한국해양공학회 2004년도 학술대회지
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• pp.35-39
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• 2004

In a shipyard, there exist various critical decision making components pertaining to various production hindrances. The most prominent one is best-fit spatial arrangement for the minimal spatial occupancy with better pick-ability for the erection of the ship in the dock. During the present research, a concept have been conceived to evade the gap between the identification oj inter-relationships among a set of blocks to be included on a pre-erection area, and a detailed graphical layout of their positions, is called an Optimal Block Relationship Diagram A research has been performed on generation of optimal (or near Optimal) that is, with minimal scrap area. An effort has been made in the generation of optimal (or near-optimal) Optimal Block Relationship Diagram with the Goldberg's Genetic Algorithms with a representation and a set of operators are 'trained' specifically for this application. The expected result to date predicts very good solutions to test problems involving innumerable different blocks to place. The suggested algorithm could accept input from an erection sequence generator program which assists the user in defining the nature and strength of the relationships among blocks, and could produce input suitable for use in a detailed layout stage.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.1085-1092
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• 2022

Travel distance is a parameter mainly used in the objective function of Construction Site Layout Planning (CSLP) automation models. To obtain travel distance, common approaches, such as linear distance, shortest-distance algorithm, visibility graph, and access road path, concentrate only on identifying the shortest path. However, humans do not necessarily follow one shortest path but can choose a safer and more comfortable path according to their situation within a reasonable range. Thus, paths generated by these approaches may be different from the actual paths of the workers, which may cause a decrease in the reliability of the optimized construction site layout. To solve this problem, this paper adopts reinforcement learning (RL) inspired by various concepts of cognitive science and behavioral psychology to generate a realistic path that mimics the decision-making and behavioral processes of wayfinding of workers on the construction site. To do so, in this paper, the collection of human wayfinding tendencies and the characteristics of the walking environment of construction sites are investigated and the importance of taking these into account in simulating the actual path of workers is emphasized. Furthermore, a simulation developed by mapping the identified tendencies to the reward design shows that the RL agent behaves like a real construction worker. Based on the research findings, some opportunities and challenges were proposed. This study contributes to simulating the potential path of workers based on deep RL, which can be utilized to calculate the travel distance of CSLP automation models, contributing to providing more reliable solutions.

• 대한전자공학회논문지SD
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• 제44권11호
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• pp.56-64
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• 2007

본 논문은 CMOS-나노 혼성 소자들 중 실현 가능성이 높은 CMOL 회로 설계 자동화 전용 시스템을 최초로 제안한다. CMOL 아키텍처는 NOR 게이트를 이용하여 조합회로의 구현한다. 이 CMOS-나노 혼성 구조는 논리 함수 및 연결 구조가 동일 나노 소자 하드웨어 자원을 공유하는 특징을 가진 새로운 설계 자동화 문제를 제기한다. CMOL의 물리 설계 자동화를 위해 먼저 CMOL 하드웨어 아키텍처 모델을 개발하고 이 CMOL 구조를 위한 배치 배선 문제에서 CMOL만의 특수한 제약조건을 도출하였으며 배치 알고리즘과 게이트 지정 알고리즘을 루프 형태로 조합하여 해를 구하는 접근 방법을 제안하였다. 제안된 접근 방법을 사용하여 CMOL 나노 전자 아키텍처를 위한 전용 설계 자동화 시스템을 개발하였으며 이 시스템을 이용하여 마이크로프로세서 설계에 실제 사용되는 모듈들을 구현함으로써 그 효용성을 증명하였다.