• 벤처창업연구
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• 제10권2호
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• pp.1-10
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• 2015

본 연구는 국내 중소제조업에서 수출비중과 지식탐색활동 특성간의 관계를 살펴보고자 한다. 본 연구는 2011년 "중소기업기술통계조사"에 참여한 중소제조업체 2,145개를 대상으로 각 기업의 수출 비중이 조직 내부와 외부 지식탐색활동에 미치는 영향을 실증적으로 분석하였다. 분석 결과, 국내 중소기업의 지식탐색활동은 주요 고객과 시장의 지리적 구성에 따라서 차이가 있었다. 즉, 내수 지향적이거나 수출 지향적 중소기업은 조직 내부 및 외부에 위치한 새로운 지식과 정보를 탐색하고 활용하는데 적극적이었지만, 수출과 내수 시장을 모두 추구하는 기업은 조직 내부 및 외부지식탐색의 수준이 상대적으로 낮았다. 연구의 이론적 시사점은 중소기업이 수출과 지식탐색 및 역량 간의 관계에 대해 새로운 지식을 확장하는 데 이바지한 것이다. 또한, 외부 지식탐색활동 자체도 조직 내부의 특성에 따라 달라질 수 있음을 실증한 것에서도 의의를 찾을 수 있다. 실무적 관점에서는 내수기업에서 수출확대 및 글로벌 중소기업으로 발전에 대해 각 과정의 기업들이 서로 다른 지식탐색활동을 보이고 있다는 점에서 관련 정책 및 지원프로그램의 설계와 운영에도 참조할 수 있다는 것이다.

• 한국지능시스템학회논문지
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• 제21권3호
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• pp.401-406
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• 2011

복잡해진 최적화문제를 전통적인 방법보다 효율적으로 해결하기위해 유전알고리즘이나 개미군집화, 하모니서치알고리즘과 같은 다양한 메타휴리스틱이 개발되었다. 그 중에서 하모니 서치알고리즘이 다른 메타휴리스틱알고리즘보다 좋은 결과를 보이고 있다. 하모니 서치 알고리즘은 음악을 작곡할 때 아름다운 소리를 내는 하모니를 찾는 과정을 모방했다. 성능은 하모니 메모리에서 선택하는 비율인 HMCR값과 하모니 메모리에서 선택된 값의 조정 비율을 결정하는 PAR값에 따라 달라지는 것으로 알려져 있다. 다르게 말하면 두 변수의 기반이 되는 하모니 메모리의 사용방법의 문제로 볼 수 있다. 본 논문은 설정한 기간 동안 더 좋은 최적해를 찾지 못할 경우 하모니 메모리의 일부를 좋은 하모니로 구성되게 수정하는 방법을 제안했다. 테스트 함수를 이용한 검증 실험결과에서 하모니 메모리를 수정할 경우 정확도 변화가 적어 신뢰성 있는 정확도를 보였으며, Iteration이 짧더라도 최적값에 근접한 값을 찾았다.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1997년도 추계학술대회 학술발표 논문집
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• pp.25-30
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• 1997

Genetic Algorithm(GA) is a parallel, global search technique modeled with the Darwinian principle of survival and reproduction of the fittest. Since Holland has proposed GA called the Simple GA, considerable research has focused of improving Simple GA performance. In this paper, I describe some methods of GA's modeling in different field.

• 무역상무연구
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• 제36권
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• pp.195-262
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• 2007

This paper attempts to assess the Basel Committee's bank supervisory standards and capital adequacy rules, and thereby rethink whether global convergence in banking regulation is desirable. To that end, it seeks to address the impetus for the creation of the Basel Committee, and explore driving forces behind the internationalization of bank regulatory and supervisory standards. Following the historical and theoretical analysis of the internationalization of bank regulatory standards, the movement toward global standards in banking is reviewed. More importantly, this paper seeks to explore the origins of the Basel Accord on bank capital adequacy. To do so, it largely relies on current theories on the process of negotiating the capital adequacy standards in the areas of political science and international political economy. At this point, this study takes a position as a break against the force of international market failure logic that has enjoyed an exceptionally positive reception among economists, political scientists, and legal experts. Nonetheless, it does not intend to freeze the international coordination and cooperation of banking regulation. Given the understanding of the politics behind the creation of the Basel Accord, this paper evaluates the Basel Accord of 1988 and the new capital adequacy framework(Basel II), and then moves beyond the assessment of the capital adequacy standards In doing so, this study draws lessons from Basel in search of a just world order in the global finance.

• 한국군사과학기술학회지
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• 제13권2호
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• pp.180-187
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• 2010

In this paper, a global path generation method is suggested using multiple grid maps connected with the mission type of unmanned combat vehicle(UCV). In order to carry out a mission for UCV, it is essential to find a global path which is coincident with the characteristics of the mission. This can be done by considering various combat circumstances represented as grid maps such as velocity map, threat map and communication map. Cost functions of multiple grid maps are linearly combined and normalized to them simultaneously for the path generation. The proposed method is realized using $A^*$, a well known search algorithm, and cost functions are normalized in the ratio of the traverse time which is one of critical information should be provided with the operators using the velocity map. By the experiments, it is checked found global paths match with the mission type by reflecting input data of grid maps properly and the computation time is short enough to regenerate paths in real time as combat circumstances change.

• 대한지구과학교육학회지
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• 제3권3호
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• pp.228-238
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• 2010

The purpose of this study is to examine the effects which applies teaching program that search solution to prevent global warming in middle school gifted class. This program of total 10 class was theoretical and experimental class and the students presented after collecting the synthetic data about climate-change and roleplayed what they debated to firm their country's opinion about Kyoto Protocol. Finally, students as policymaker made mock Kyoto Protocol by discussion. Impression papers and images about climate-changes was made by students in last class. In discussion of making up mock Kyoto Protocol, developed and developing nations had an argument about carbon dioxide emissions because of their economic benefits. In the course of allocating mutual $CO_2$ reduction, they needed yield and negotiation among nations. Although they mainly took passive position about $CO_2$ reduction, atmosphere that all the country make greater effort for the future global environment was formed. Like this, students had more concepts over climate change by making mock Kyoto Protocol. And they could equipped global scientific literacy and responsibility by participating in social decision making process of solving global environmental issues.

• 정보처리학회논문지B
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• 제14B권5호
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• pp.377-382
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• 2007

본 논문에서는 방사 기저함수 네트워크의 파라미터를 전 영역에서 최적화하는 학습 알고리즘을 제안한다. 기존의 학습 알고리즘들은 지역 최적화만을 수행하기 때문에 성능의 한계가 있고 최종 결과가 초기 네트워크 파라미터 값에 크게 의존하는 단점이 있다. 본 논문에서 제안하는 하이브리드 모의 담금질 기법은 모의 담금질 기법의 전 영역 탐색 능력과 경사 기반 학습 알고리즘의 지역 최적화 능력을 조합하여 전 파라미터 영역에서 해를 찾을 수 있도록 한다. 제안하는 기법을 함수 근사화 문제에 적용하여 기존의 학습 알고리즘에 비해 더 좋은 학습 및 일반화 성능을 보이는 네트워크 파라미터를 찾을 수 있으며, 초기 파라미터 값의 영향을 크게 줄일 수 있음을 보인다.

• Smart Structures and Systems
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• 제18권3호
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• pp.425-448
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• 2016

In this paper, a new Pigeon Colony Algorithm (PCA) based on the features of a pigeon colony flying is proposed for solving global numerical optimization problems. The algorithm mainly consists of the take-off process, flying process and homing process, in which the take-off process is employed to homogenize the initial values and look for the direction of the optimal solution; the flying process is designed to search for the local and global optimum and improve the global worst solution; and the homing process aims to avoid having the algorithm fall into a local optimum. The impact of parameters on the PCA solution quality is investigated in detail. There are low-dimensional functions, high-dimensional functions and systems of nonlinear equations that are used to test the global optimization ability of the PCA. Finally, comparative experiments between the PCA, standard genetic algorithm and particle swarm optimization were performed. The results showed that PCA has the best global convergence, smallest cycle indexes, and strongest stability when solving high-dimensional, multi-peak and complicated problems.

• 한국군사과학기술학회지
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• 제16권5호
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• pp.583-589
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• 2013

In this paper, we proposed a system that efficiently provides support maps which includes the grid based terrain analysis information. To do this, we use the FDB which is defined as a GIS database that contains features with attributes attached to the features. The FDB is composed of a number of features and feature classes. In order to create support maps, it is necessary to classify feature classes that are associated with each support map and to search them in a grid map. The proposed system use a ontology model to classify semantically feature classes and the quad-tree data structure to find them in a grid map quickly. Therefore, our system is expected to be utilized for global path planning of UGV. In this paper, we show the possibility through an experimental implementation.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2006년도 추계학술대회
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• pp.693-696
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• 2006

Global optimization is a method for finding more reliable models in various fields, such as financial engineering, pattern recognition, process optimization. In this study, we compare and analyze the performance of the state-of-the-art global optimization techniques, which include Genetic Algorithm (DE,SCGA), Simulated Annealing (ASA, DSSA, SAHPS), Tabu & Direct Search (DTS, DIRECT), Deterministic (MCS, SNOBIT), and Trust-Region algorithm. The test functions for the experiments are Benchmark problems in Hedar & Fukushima (2004), which are evaluated with respect to efficiency and accuracy. Through the experiment, we analyse the computational complexity of the methods and finally discuss the pros and cons of them.