• Title/Summary/Keyword: 메타휴리스틱

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The Development of a Shortest Route Search Demonstration System for the Home Delivery Using Ant Algorithm : Limiting to Yangyang Province (개미 알고리즘을 이용한 택배 배송 최단경로 탐색 시범 시스템의 개발 : 양양지역을 중심으로)

  • Lee, Sung-Youl;Park, Young-Han;Lee, Jung-Min
    • Journal of Korea Society of Industrial Information Systems
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    • v.12 no.4
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    • pp.89-96
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    • 2007
  • The amount of home deliveries are increasing day by day owing to the increment of the on-line market. This environment brings along generating many delivery companies and keen competition with each other in its customer hold Therefore, this study aims at the development of a shortest delivery route search demonstration system using Ant Algorithm. The developed system reduces the time consumption significantly in search of delivery path and time of the products for the novice delivery driver as well as experienced driver. Ultimately, the developed system will give the customer reliability and satisfaction, knowing a delivery route in advance.

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A Study on the Performance Improvement of Harmony Search Optimization Algorithm (HS 최적화 알고리즘 성능 향상에 관한 연구)

  • Lee, Tae-Bong
    • Journal of Advanced Navigation Technology
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    • v.25 no.5
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    • pp.403-408
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    • 2021
  • Harmony Search(HS) algorithm is an emerging meta-heuristic optimization algorithm, which is inspired by the music improvisation process and has been successfully applied to solve different optimization problems. In order to further improve the performance of HS, this paper proposes a new method which is called Fast Harmony Search(FSH) algorithm. For the purpose, this paper suggest a method to unify two independent improvisation processes by newly defining the boundary value of a object variable using HM. As the result, the process time of the algorithm is shorten and explicit decision of bandwidth is no more needed. Furthermore, exploitative power of random selection is improved. The numerical results reveal that the proposed algorithm can find better solutions and is faster when compared to the conventional HS.

Capacity determination of rainwater detention tanks using particle swarm optimization (입자 군집 최적화 기법을 이용한 빗물 저류지 용량 결정)

  • Jeong, Taekmun;Jin, Youngkyu;Kang, Taeuk;Lee, Sangho
    • Proceedings of the Korea Water Resources Association Conference
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    • 2020.06a
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    • pp.353-353
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    • 2020
  • 기후변화에 적응하기 위해 많은 나라들이 수자원 관리 전략을 마련하고 있으며, 대체 수자원 활성화 방안에 관심을 기울이고 있다. 본 연구에서는 대체 수자원 활성화 방안 중 빗물 저류지의 용량 결정 방법을 제시하고자 한다. 빗물 저류지의 용량을 결정하기 위해 메타 휴리스틱 방법 중 하나인 입자 군집 최적화(particle swarm optimization; PSO)를 선정하였다. 이는 기존 실제 설계에 사용되고 있는 시행착오법보다 시간을 단축시킬 수 있다. 최적화 모형은 python의 pyswarm package를 이용해 구성하였다. 모형의 입력자료는 저류지 유입량과 목표 공급량, 목표 보장률이고, 목적함수는 빗물 저류지 용량의 최소화이다. 제약조건은 모의된 보장률이 목표 보장률 이상을 달성하는 것이다. 여기서, 보장률은 전체 모의 기간 중 목표 공급량을 공급한 기간의 비율이다. 제시한 방법론의 적용성을 검토하기 위해 실제 저류지가 설계된 인천의 청라지구 1공구를 선정하여 적용하였다. 최적화 모형의 입력 유입량은 SWMM으로 산정된 1995년부터 2004년까지의 유출량이며, 목표 공급량은 실제 설계에 활용된 용수 목적별 요구 수량이다. 여기서 용수 목적별 요구 수량은 대상지역의 노면 청소수, 화장실 세정수, 호수 유지수 등이다. 산정 결과 계산 시간은 약 30초 소요되며, 목표 보장률을 만족하는 저류지 용량이 결정되었다. 본 연구에 제시한 방법은 제약조건이 추가되어도 기존 시행착오법에 비해 간편함을 확인하였다.

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A Study on the Application of Graphic Metaphor to the Web Interface - concentrating on the homework supporting domains for higher classes in the elementary schools- (웹 인터페이스에서의 그래픽 메타포 활용에 관한 연구 -초등학교 고학년 숙제도우미 영역을 중심으로-)

  • 이미경;김혜경
    • Archives of design research
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    • v.16 no.4
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    • pp.385-394
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    • 2003
  • An investigation by KRNIC (Korea Network Information Center) on the real state of usage of internet has shown that 96.9% of children investigated had experiences of using internet. Especially the firstly ranked item that had been answered by children as a necessity of internet was 'Studying to solve tasks' rated by 83.9%. As seen from the research result, the need as a homework sonics is actually so dominant that it cannot be ignored when considering the profitability at the area of education contents, but any profound research has not been accomplished yet. Internet has been positioned as a more effective and fruitful learning tool, and also all activities done by users for exploring informations and choosing learning items under the on-line circumstances are based on the successive mutual reactions between users and computers. Up to now much of the web based learning circumstances has been introducing the User Interface using metaphor, and the same is found dominantly from the sites for children. But in spite of the availability of metaphor mentioned above the current status is much lack of profound researches about metaphor interface; and what is more, in the case of the site for elementary school students the gap of the ability recognizing metaphor is very large between lower classes and higher classes according to the degree of mental growth but that is used to be simply ignored, then a common concept is adapted to interface for all grades of classes and moreover for infant and kindergarten without any objections. Based on foregoing problems this research has put the main focus on the groping and presenting desirable directions on the prospect design of interface for children-oriented sites by analyzing the status of practical usage of metaphor interface in the field of the sites for children-oriented learning sites with concentration upon homework supporting domains.

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Study on Optimization for Construction Vertical Lifting with Transfer Operation for Super High-rise Buildings (초고층 건축공사의 리프트 수직 환승운영 최적화 방안 연구)

  • Moon, Jooyong;Park, Moonseo;Lee, Hyunsoo;Jung, Minhyuk
    • Korean Journal of Construction Engineering and Management
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    • v.15 no.6
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    • pp.53-62
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    • 2014
  • Recently, the number of super high-rise building projects have been increased after recovering from international financial crisis. In super high-rise building project, vertical lifting is critical to overall project productivity, due to its limited lifting equipments. Also for projects which buildings' height are higher than 400m, transfer operation in lifting is inevitable because of lifts' maximum lifting height. In transfer operation, setting a transfer floor is essential for saving lifting time of resources. In this research, using discrete event simulation modeling with AnyLogic 7.0 software and metaheuristic optimization with OptQuest software, the method of optimizing a transfer floor for workers during the morning peak time is proposed. Comparing to the result of the case which transfer floor is designated to the middle floor, setting optimized transfer floor significantly decrease the total lifting time of workers. By using proposed simulation and optimization tool, saving budget and time through increasing available working hour is expected.

Development of Hybrid Vision Correction Algorithm (Hybrid Vision Correction Algorithm의 개발)

  • Ryu, Yong Min;Lee, Eui Hoon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.1
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    • pp.61-73
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    • 2021
  • Metaheuristic search methods have been developed to solve problems with a range of purpose functions in situations lacking information and time constraints. In this study, the Hybrid Vision Correction Algorithm (HVCA), which enhances the performance of the Vision Correction Algorithm (VCA), was developed. The HVCA has applied two methods to improve the performance of VCA. The first method changes the parameters required by the user for self-adaptive parameters. The second method, the CGS structure of the Exponential Bandwidth Harmony Search With a Centralized Global Search (EBHS-CGS), was added to the HVCA. The HVCA consists of two structures: CGS and VCA. To use the two structures, a method was applied to increase the probability of selecting the structure with the optimal value as it was performed. The optimization problem was applied to determine the performance of the HVCA, and the results were compared with Harmony Search (HS), Improved Harmony Search (IHS), and VCA. The HVCA improved the number of times to find the optimal value during 100 repetitions compared to HS, IHS, and VCA. Moreover, the HVCA reduced the Number of Function Evaluations (NFEs). Therefore, the performance of the HVCA has been improved.

Optimization of $\mu$0 Algorithm for BDD Minimization Problem

  • Lee, Min-Na;Jo, Sang-Yeong
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.39 no.2
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    • pp.82-90
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    • 2002
  • BDD have become widely used for various CAD applications because Boolean functions can be represented uniquely and compactly by using BDD. The size of the BDD representation for a function is very sensitive to the choice of orderings on the input variable. Therefore, it is very important to find a good variable ordering which minimize the size of the BDD. Since finding an optimal ordering is NP-complete, several heuristic algorithms have been proposed to find good variable orderings. In this paper, we propose a variable ordering algorithm, Faster-${\mu}$0, based on the ${\mu}$0(microcanonical optimization). In the Faster-${\mu}$0 algorithm, the initialization phase is replaced with a shifting phase to produce better solutions in a fast local search. We find values for algorithm parameters experimentally and the proposed algorithm has been experimented on well known benchmark circuits and shows superior performance compared to various existing algorithms.

A Proposal on Digital Cable TV Menu for 20's (20대 사용자를 위한 디지털 케이블 TV 메뉴 제안)

  • Kim, Yong-Seong;Noh, Ji-Hye;Park, Su-Bin;An, So-Hyeon;Yeoun, Myeong-Heum
    • 한국HCI학회:학술대회논문집
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    • 2009.02a
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    • pp.1053-1058
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    • 2009
  • Digital cable TV(DCATV) is totally different with a existing TV which is passive, and can pick the contents anytime we want. It is very popular in many houses and we can see bright future with this. This study will show a standard that is a suitable and convenient VOD menu category for 20's through a various usability test. Moreover it will be provided new menu style and GUI through the preferences. For this, we found expected problems first through the heuristic analysis and did iterative usability test to verify and improve these problems. As a result of that, we improved errors of VOD menu structure and suggested new menu style including metaphor, colour and icon users can recognize easily. That is, VOD categories should be grouped among definite meanings. And we found using convenience is more important than new discovery of method on menu style for experienced users. This study can be not only based data when DCATV menu is renewed but also can be used as a reference data when designing other DCATV menu.

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A Tabu Search Algorithm for Controller Placement Problem in Software Defined Networks (소프트웨어 정의 네트워크에서 제어기 배치 문제를 위한 타부 서치 알고리즘)

  • Jang, Kil-woong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.3
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    • pp.491-498
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    • 2016
  • The software defined networks implement a software network control plane, which is physically separated from the data plane. For wide area software defined network deployments, multiple controllers are required, and the placement of these controllers influences importantly the performance of the software defined networks. This paper proposes a Tabu search algorithm, which is one of the meta heuristic algorithms, for an efficient controller placement in software defined networks. In order to efficiently obtain better results, we propose new neighborhood generating operations, which are called the neighbor position move and the neighbor number move, of the Tabu search algorithm. We evaluate the performances of the proposed algorithm through some experiments in terms of the minimum latency and the execution time of the proposed algorithm. The comparison results show that the proposed algorithm outperforms the existing genetic algorithm and random method under various conditions.

A Study on Distributed Particle Swarm Optimization Algorithm with Quantum-infusion Mechanism (Quantum-infusion 메커니즘을 이용한 분산형 입자군집최적화 알고리즘에 관한 연구)

  • Song, Dong-Ho;Lee, Young-Il;Kim, Tae-Hyoung
    • Journal of the Korean Institute of Intelligent Systems
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    • v.22 no.4
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    • pp.527-531
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    • 2012
  • In this paper, a novel DPSO-QI (Distributed PSO with quantum-infusion mechanism) algorithm improving one of the fatal defect, the so-called premature convergence, that degrades the performance of the conventional PSO algorithms is proposed. The proposed scheme has the following two distinguished features. First, a concept of neighborhood of each particle is introduced, which divides the whole swarm into several small groups with an appropriate size. Such a strategy restricts the information exchange between particles to be done only in each small group. It thus results in the improvement of particles' diversity and further minimization of a probability of occurring the premature convergence phenomena. Second, a quantum-infusion (QI) mechanism based on the quantum mechanics is introduced to generate a meaningful offspring in each small group. This offspring in our PSO mechanism improves the ability to explore a wider area precisely compared to the conventional one, so that the degree of precision of the algorithm is improved. Finally, some numerical results are compared with those of the conventional researches, which clearly demonstrates the effectiveness and reliability of the proposed DPSO-QI algorithm.