• 제목/요약/키워드: Sorting Algorithm

검색결과 282건 처리시간 0.024초

우편물 기간운송계획 알고리듬 (A Postal Transportation Planning Algorithm)

  • 최지영;이경식;박성수;김진석;김혜규
    • 한국경영과학회:학술대회논문집
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    • 한국경영과학회 2001년도 추계학술대회 논문집
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    • pp.191-194
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    • 2001
  • We consider a postal transportation planning in the transportation network of the form of hub and spoke. Given mail sorting centers and an exchange center, available vehicles and amount of mails to be transported between mail sorting centers, postal transportation planning is to make a transportation plan without violating various restrictions. The objective is to minimize the total transportation cost. To solve the problem, a tabu search algorithm is Proposed. The algorithm is composed of a route construction procedure and a route improvement procedure to improve a solution obtained by the route construction procedure using a tabu search. Computational results show that the proposed algorithm can solve practically sized problems within a reasonable time and the quality of the solution is acceptable.

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FactoryCAD를 이용한 우편집중국 등기 작업장 설비 배치 개선 (Improvement of the Facilities Layout Using FactoryCAD in a Registry Department of Mail Center)

  • 이해원;전인우;김기동
    • 산업기술연구
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    • 제25권A호
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    • pp.95-104
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    • 2005
  • In the future, the sorting machines will be taken charge of the most part of the letter sorting operations. At present, in order to deliver the sorted letters by the next day, many labors are intensively committed in the letter sorting operations. This research analyzes the problem of the facilities layout in registry department of mail center. It presents an improved design of facilities layout in comparison with several alternatives including the current layout using AutoCAD and FactoryCAD. It presents the optimized facilities layout using the algorithm which is embedded in the FactoryOPT. By the result of this research, we expect that the productivity of sorting letter will be improved and the related total labor cost will be minimized.

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지연의 상한 보장과 안정성을 고려한 패킷 스케쥴링 알고리즘 (Packet scheduling algorithm for guaranteed bound and firewall property of delay performance)

  • 정대인
    • 한국통신학회논문지
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    • 제27권5C호
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    • pp.435-444
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    • 2002
  • 본 논문에서는, 세션별 결정적 지연품질의 보장이 주어짐과 동시에, 세션간 서비스품질의 안정성이 지원되는 패킷 스케쥴링 알고리즘인 "클래스별 서비스 차등제공" (CSL: Class level Service Lagging) 알고리즘[6]에 대하여, 시뮬레이션을 통한 기능 검증과, 실질적 구현에 관련된 이슈를 분석하였다. 서비스품질의 안정성 면에서 CSL알고리즘과 EDD(Earliest Due Date) 방식과의 차별성을 확인하였다. 구현의 복잡성에 대한 검토에서, CSL알고리즘은 sorting을 제외하고는, 0(1)의 복잡성을 갖도록 구현될 수 있음을 보였다. 공평큐잉의 기본 골격이 유지됨으로써, 다양한 형태의 공평큐잉 구현에 쉽게 적용될 수 있는 점은 CSL알고리즘이 갖는 주요 특징이다. TCP/IP 네트워크에서와 같이, 사용자의 의지에 의존하는 TCP 혼잡제어의 환경에서, 세션간 서비스품질의 안정성 보장은 필수적이며, 이러한 측면에서 CSL알고리즘이 갖는 적합성을 확인하였다.합성을 확인하였다.

레이더 군집화를 위한 반복 K-means 클러스터링 알고리즘 (Repeated K-means Clustering Algorithm For Radar Sorting)

  • 박동현;서동호;백지현;이원진;장동의
    • 한국군사과학기술학회지
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    • 제26권5호
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    • pp.384-391
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    • 2023
  • In modern electronic warfare, a number of radar emitters are in operation, causing radar receivers to receive high-density signal pulses that occur simultaneously. To analyze the radar signals more accurately and identify enemies, the sorting process of high-density radar signals is very important before analysis. Recently, machine learning algorithms, specifically K-means clustering, are the subject of research aimed at improving the accuracy of radar signal sorting. One of the challenges faced by these studies is that the clustering results can vary depending on how the initial points are selected and how many clusters number are set. This paper introduces a repeated K-means clustering algorithm that aims to accurately cluster all data by identifying and addressing false clusters in the radar sorting problem. To verify the performance of the proposed algorithm, experiments are conducted by applying it to simulated signals that are generated by a signal generator.

건표고 자동 등급선별 시스템 개발 -시작 2호기- (Development of Automatic Grading and Sorting System for Dry Oak Mushrooms -2nd Prototype-)

  • 황헌;김시찬;임동혁;송기수;최태현
    • Journal of Biosystems Engineering
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    • 제26권2호
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    • pp.147-154
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    • 2001
  • In Korea and Japan, dried oak mushrooms are classified into 12 to 16 different categories based on its external visual quality. And grading used to be done manually by the human expert and is limited to the randomly sampled oak mushrooms. Visual features of dried oak mushrooms dominate its quality and are distributed over both sides of the gill and the cap. The 2nd prototype computer vision based automatic grading and sorting system for dried oak mushrooms was developed based on the 1st prototype. Sorting function was improved and overall system for grading was simplified to one stage grading instead of two stage grading by inspecting both front and back sides of mushrooms. Neuro-net based side(gill or cap) recognition algorithm of the fed mushroom was adopted. Grading was performed with both images of gill and cap using neural network. A real time simultaneous discharge algorithm, which is good for objects randomly fed individually and for multi-objects located along a series of discharge buckets, was developed and implemented to the controller and the performance was verified. Two hundreds samples chosen from 10 samples per 20 grade categories were used to verify the performance of each unit such as feeding, reversing, grading, and discharging unites. Test results showed that success rates of one-line feeding, reversing, grading, and discharging functions were 93%, 95%, 94%, and 99% respectively. The developed prototype revealed successful performance such as the approximate sorting capability of 3,600 mushrooms/hr per each line i.e. average 1sec/mushroom. Considering processing time of approximate 0.2 sec for grading, it was desired to reduce time to reverse a mushroom to acquire the reversed surface image.

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Analysis and Comparison of Sorting Algorithms (Insertion, Merge, and Heap) Using Java

  • Khaznah, Alhajri;Wala, Alsinan;Sahar, Almuhaishi;Fatimah, Alhmood;Narjis, AlJumaia;Azza., A.A
    • International Journal of Computer Science & Network Security
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    • 제22권12호
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    • pp.197-204
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    • 2022
  • Sorting is an important data structure in many applications in the real world. Several sorting algorithms are currently in use for searching and other operations. Sorting algorithms rearrange the elements of an array or list based on the elements' comparison operators. The comparison operator is used in the accurate data structure to establish the new order of elements. This report analyzes and compares the time complexity and running time theoretically and experimentally of insertion, merge, and heap sort algorithms. Java language is used by the NetBeans tool to implement the code of the algorithms. The results show that when dealing with sorted elements, insertion sort has a faster running time than merge and heap algorithms. When it comes to dealing with a large number of elements, it is better to use the merge sort. For the number of comparisons for each algorithm, the insertion sort has the highest number of comparisons.

THE CHARACTERIZATION OF SORT SEQUENCES

  • Yun, MIn-Young
    • Journal of applied mathematics & informatics
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    • 제4권2호
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    • pp.513-528
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    • 1997
  • A sort sequence $S_n$ is a sequence of all unordered pairs of indices in $I_n\;=\;{1,\;2,v...,\;n}$. With a sort sequence Sn we assicuate a sorting algorithm ($AS_n$) to sort input set $X\;=\;{x_1,\;x_2,\;...,\;x_n}$ as follows. An execution of the algorithm performs pairwise comparisons of elements in the input set X as defined by the sort sequence $S_n$, except that the comparisons whose outcomes can be inferred from the outcomes of the previous comparisons are not performed. Let $X(S_n)$ denote the acverage number of comparisons required by the algorithm $AS_n$ assuming all input orderings are equally likely. Let $X^{\ast}(n)\;and\;X^{\circ}(n)$ denote the minimum and maximum value respectively of $X(S_n)$ over all sort sequences $S_n$. Exact determination of $X^{\ast}(n),\;X^{\circ}(n)$ and associated extremal sort sequenes seems difficult. Here, we obtain bounds on $X^{\ast}(n)\;and\;X^{\circ}(n)$.

분할 정렬 알고리즘의 개선을 통한 JPEG2000 정지영상 부호화에서의 압축 효율 개선 (Compression efficiency improvement on JPEG2000 still image coding using improved Set Partitioning Sorting Algorithm)

  • 주동현;김두영
    • 한국정보통신학회논문지
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    • 제9권5호
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    • pp.1025-1030
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    • 2005
  • 멀티 미디어 사용의 증가에 따라 정보화 사회에 있어 정지 영상 정보를 높은 압축율로 방대한 데이터를 얼마나 빠르게 에러없이 전송 또는 처리 하는가 하는 문제가 요구 되어지고 있다. 본 논문은 정지영상 인코딩 분야에서 다양한 기능과 압축 성능을 보이고 있는 JPEG2000 압축효율 향상을 위하여 저주파 대역에 대한 부호화를 제거하고, 중복비트 제거를 이용한 개선된 분할정렬 알고리즘을 이용하여 웨이블렛 계수를 줄이는 방법을 제안하였다. 실험결과, 제안한 방법을 통해 기존의 JPEG2000 표준보다 더 우수한 양질의 성능과 저 비트율을 확인할 수 있었다.

유전 알고리즘을 이용한 정렬 알고리즘의 최악의 인스턴스 탐색 (Finding the Worst-case Instances of Some Sorting Algorithms Using Genetic Algorithms)

  • 전소영;김용혁
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2010년도 한국컴퓨터종합학술대회논문집 Vol.37 No.1(B)
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    • pp.1-5
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    • 2010
  • 정렬 알고리즘에서 사용한 원소 간 비교횟수를 기준으로, 비교횟수가 많게 되는 순열을 최악의 인스턴스(worst-case instance)라 명명하고 이를 찾기 위해 유전 알고리즘(genetic algorithm)을 사용하였다. 잘 알려진 퀵 정렬(quick sort), 머지 정렬(merge sort), 힙 정렬(heap sort), 삽입 정렬(insertion sort), 쉘 정렬(shell sort), 개선된 퀵 정렬(advanced quick sort)에 대해서 실험하였다. 머지 정렬과 삽입 정렬에 대해 탐색한 인스턴스는 최악의 인스턴스에 거의 근접하였다. 퀵 정렬은 크기가 증가함에 따라 최악의 인스턴스 탐색이 어려웠다. 나머지 정렬에 대해서 찾은 인스턴스는 최악의 인스턴스인지 이론적으로 보장할 수 없지만, 임의의 1,000개 순열을 정렬해서 얻은 비교횟수들의 평균치보다는 훨씬 높았다. 본 논문의 최악의 인스턴스를 탐색하는 시도는 알고리즘의 성능 검증을 위한 테스트 데이터를 생성한다는 점에서 의미가 크다.

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Combined Economic and Emission Dispatch with Valve-point loading of Thermal Generators using Modified NSGA-II

  • Rajkumar, M.;Mahadevan, K.;Kannan, S.;Baskar, S.
    • Journal of Electrical Engineering and Technology
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    • 제8권3호
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    • pp.490-498
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    • 2013
  • This paper discusses the application of evolutionary multi-objective optimization algorithms namely Non-dominated Sorting Genetic Algorithm-II (NSGA-II) and Modified NSGA-II (MNSGA-II) for solving the Combined Economic Emission Dispatch (CEED) problem with valve-point loading. The valve-point loading introduce ripples in the input-output characteristics of generating units and make the CEED problem as a non-smooth optimization problem. IEEE 57-bus and IEEE 118-bus systems are taken to validate its effectiveness of NSGA-II and MNSGA-II. To compare the Pareto-front obtained using NSGA-II and MNSGA-II, reference Pareto-front is generated using multiple runs of Real Coded Genetic Algorithm (RCGA) with weighted sum of objectives. Furthermore, three different performance metrics such as convergence, diversity and Inverted Generational Distance (IGD) are calculated for evaluating the closeness of obtained Pareto-fronts. Numerical results reveal that MNSGA-II algorithm performs better than NSGA-II algorithm to solve the CEED problem effectively.