• Proceedings of the Korean Society of Computer Information Conference
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• 2015.01a
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• pp.167-168
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• 2015

유전자 알고리즘은 문제 크기가 커짐에 따라 해집합이 폭발적으로 늘어나 최적해를 찾기 힘든 최적화 문제에 주로 적용되는 알고리즘으로, 최근에는 지리정보시스템(GIS)의 경로 최적화 문제, 게임에서의 길찾기, 인공지능에 많이 적용되고 있다. 마이크로 유전자 알고리즘은 일반 유전자 알고리즘에 비해 작은 크기의 모집단을 사용함으로써 알고리즘의 효율을 높일 수 있는 장점이 있다. 따라서, 본 논문에서는 무향 Rural Postman Problem 해법으로 마이크로 유전자 알고리즘의 적용 방법을 제안한다.

• Journal of the Korea Society of Computer and Information
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• v.10 no.5 s.37
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• pp.179-186
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• 2005

This paper describes a genetic algorithm and compares three crossover operators for Rural Postman Problem with Time Windows (RPPTW). The RPPTW which is a multiobjective optimization problem, is an extension of Rural Postman Problem(RPP) in which some service places (located at edge) require service time windows that consist of earliest time and latest time. Hence, RPM is a m띤tieect optimization Problem that has minimal routing cost being serviced within the given time at each service Place. To solve the RPPTW which is a multiobjective optimization problem, we obtain a Pareto-optimal set that the superiority of each objective can not be compared. This Paper performs experiments using three crossovers for 12 randomly generated test problems and compares the results. The crossovers using in this Paper are Partially Matched Exchange(PMX) Order Exchange(OX), and Modified Order Exchange(MOX) which is proposed in this paper. For each test problem, the results show the efficacy of MOX method for RPPTW.

• Journal of the Korean Society of Costume
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• v.50 no.7
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• pp.33-46
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• 2000

Uniform is the dress of distinctive design or fashion worn by members of a particular group or serving as a means of identification. The postman's uniform of Ministry of Communication should be distinctive or characteristic clothing to provide high functionality and symbolization of job characteristics, cost effectiveness and esthetic. In order to design the postman's new uniform available in 2000, there has been a satisfaction survey to 1,116 postmen. A thorough analysis of survey and informal and face-to-face discussion with postmen give the direction of design concept. One of the most important things in the design concept is to make the uniform high quality & refinement. The style is a refined jumper suit in consideration of form stability, wearing satisfaction, convenience in activity. The basic colors selected are navy and medium gray. The colors of jumper are MOC red ; C.I color Green : a representative color of youth, white : a symbolic color of bright future. All three colors are plaid on a basic nary color. In the selection of the textile, synthetic fiber (Polyester 65%, rayon 35%) equipped with UV cutting as well as water resistance etc. was recommended. In the uniform design process, the effective communication with user (postman) is critical to find the requirements and needs of uniform user (postman). Also. the uniform designer should reflect the above four key factors in design development. Therefore, the uniform should provide the user with high job performance and job pride in wearing the uniform.

• Proceedings of the Korean Society of Computer Information Conference
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• 2016.07a
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• pp.239-240
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• 2016

본 논문에서는 RPP(Rural Postman Problem)을 시뮬레이션 하기 위한 툴을 설계하고 구현하였다. RPP 문제의 해를 구하기 위해 유전 알고리즘을 시뮬레이션 툴 내부에 엔진으로 구현하였다. 시뮬레이션 툴의 구성은 유전 알고리즘의 파라미터를 설정하기 위한 사용자 인터페이스 부분과 시뮬레이션 결과를 그래프로 표현해 주는 Presentation Layer, 유전 알고리즘을 이용하여 경로탐색을 처리하는 Operation Layer, 유전 알고리즘에서 사용되는 염색체들을 저장 관리하는 Data Layer로 되어 있다. 본 논문에서 구현한 시뮬레이션 툴을 이용하여 다양한 RPP 문제를 파라미터의 설정만을 통해 해를 구할 수 있으며, 실험 결과를 그래프로 확인할 수 있다.

• Journal of the Korea Society of Computer and Information
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• v.6 no.1
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• pp.25-30
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• 2001

This paper proposes an enhanced Simulated Annealing(SA) algorithm for Rural Postman Problems(RPPs). In SA, the cooling schedule is an important factor for SA algorithms. Hence, in this paper a cooling schedule is proposed for SA for RPPs. In the simulation. the results of the SA using the proposed cooling schedule and the results of the SA using the existing cooling schedules are compared and analyzed. In the simulation results, the proposed method obtained the better results than the existing methods.

• The Journal of Information Systems
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• v.17 no.3
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• pp.39-58
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• 2008

Mixed Chinese Postman Problem (MCPP) is a practical generalization of the classical Chinese Postman Problem (CPP) and it could be applied in many real world. Although MCPP is useful in terms of reality, MCPP has been proved to be a NP-complete problem. To find optimal solutions efficiently in MCPP, we can reduce searching space to be small effective searching space containing optimal solutions. We propose GENIIS methodology, which is a kind of hybrid algorithm combines the approximate algorithms and genetic algorithm. To get good solutions in the effective searching space, GENIIS uses approximate algorithm and genetic algorithm. This paper validates the usefulness of the proposed approach in a simulation. The results of our paper could be utilized to increase the efficiencies of network and transportation in business.

• The Transactions of the Korea Information Processing Society
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• v.6 no.9
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• pp.2414-2421
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• 1999

This paper proposes two kinds of heuristic algorithms for Rural Postman Problems(RPPs). One is a Simulated Annealing (SA) algorithm for RPPs. In SA, we propose a new cooling schedule which affects the performance of SA. The other is a Genetic Algorithm(GA) for RPPs. In GA, we propose a chromosome structure for RPPs which are edge-oriented problems. In simulations, we compared the proposed methods with the existing methods and the results show that the proposed methods produced better results than the existing methods.

• Industrial Engineering and Management Systems
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• v.11 no.1
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• pp.18-25
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• 2012

IChinese postman problem is one of the classical combinatorial optimization problems with many applications. However, in application, some uncertain factors are frequently encountered. This paper employs uncertain programming to deal with Chinese postman problem with uncertain weight Within the framework of uncertainty theory, the concepts of expected shortest route, ${\alpha}$-shortest route, and distribution shortest route are proposed. After that, expected shortest model, and ${\alpha}$-shortest model are constructed. Taking advantage of properties of uncertainty theory, these models can be transf-ormed into their corresponding deterministic forms, which can be solved by classical algorithm..

• Journal of the Korea Society of Computer and Information
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• v.7 no.1
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• pp.48-53
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• 2002

This paper Proposes an iterative Local Search (ILS) algorithm for Rural Postman Problems (RPPs). LS searches neighbors from an initial solution in solution space and obtains a nearoptimal solution which can be a local-minima. As an extension of LS, the ILS algorithm is a method that uses various initial solutions for LS. Hence. ILS can overcome the defect of LS. This paper proposes LS and ILS methods for 18 RPPs and analyzes the results of LS and ILS. In the simulation results, the ILS method obtained the better results than the LS method.

• Journal of the Korea Society of Computer and Information
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• v.12 no.2 s.46
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• pp.181-188
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• 2007

Undirected Rural Postman Problem(URPP) is a problem that finds a shortest tour traversing the given arcs at least once in a given network. The URPP is one of the basic network problems used in solving the various real-world problems. And it is known as NP-Complete. URPP is an arc-oriented problem that the direction of a tour in an arc has to be considered. Hence, In URPP, it is difficult to use the algorithm for Traveling Salesman Problem (TSP), which is a node-oriented problem, directly. This paper proposes the decoding algorithm using graph transformation in the genetic algorithm for URPP. That is, you can find the entire tour traversing without considering the direction of arcs by transforming the arc-oriented graph into the node-oriented graph. This paper compares the performances of the proposed algorithm with an existing algorithm. In the simulation results, the proposed algorithm obtained better than the existing algorithm