• 한국정보과학회논문지:소프트웨어및응용
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• 제28권9호
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• pp.669-680
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• 2001

유전자 알고리즘(GA:Genetic Algorithm)은 최적화 문제를 풀기 위해 생물학적 진화(evolution) 과정을 모방한 최적화 알고리즘이다. 유전자 알고리즘은 복잡한 상태 공간에서 최적 해를 찾기 위해 전통적인 최적화 기법과는 달리 유향적 임의 탐색을 행한다. 학습에 해당하는 국부 탐색(local search)을 유전적 알고리즘은 exploration 탐색과 exploitation 탐색의 균형을 유지시켜 줄 수 있는 한 방법이다. 모집단 내의 각 개체가 진화 과정 중에 학습한 유전적 특질들은 그 다음 세대에서 되물림 되며 이러한 학습(learning) 과정을 유전자 알고리즘과 결합시킴으로써 탐색 속도의 향상을 기대할 수 있다. 이 논문에서는 함수 최적화를 위해 속도를 개선한 셀룰러 학습을 기반으로 하는 유전자 알고리즘을 제안한다. 제안하는 셀룰러 학습 전략은 셀룰러 오토마타의 주기성과 수렴성을 기반으로 하며, 유기체가 그 개체의 생명 주기의 한 세대에서 얻게되는 지식과 경험들을 자손에게 전달한다는 이론을 바탕으로 한다. 제안한 셀룰러 학습 전략의 효율을 기존의 복합 유전자 알고리즘에서의 라마키안 진화 및 볼드윈 효과와 비교하였다. 다양한 테스트 베드 함수에 대한 실험을 통하여 셀룰러 학습에 의한 개체의 국부적 향상이 전체적인 성능 향상에 기여함을 알 수 있었고 제안한 학습 전략이 기존의 방법보다 더 빨리 전역 최적 해를 찾을 수 있음을 증명하였다.

• 자원환경지질
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• 제41권5호
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• pp.475-484
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• 2008

본 연구에서는 국가위험도 및 국가신용등급 현황을 파악하고, 이들 지표와 광물자원개발 투자와의 관계를 분석하여 해외 광물자원개발투자를 위한 지표를 도출하고자 했다. 이를 위해 국가위험도와 광물자원부존국과의 관계를 분석하였고, OECD 국가신용등급을 적용한 자원개발 투자 위험도와의 상관성을 검토하였다. 실제 광물자원 투자사업 시 국가위험도 역할이 중요한 변수로 제공되는 국가는 자원지수는 양호하나 국가위험도가 글은 국가들이다. 따라서 해외광물자원 투자 시 자원지수와 국가위험도와의 관계에 대한 신중한 검토는 사업 투자 여부 선정을 위한 필수요건이다.

• 자원환경지질
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• 제36권2호
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• pp.59-74
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• 2003

자원의 탐사는 국가경영에 있어서 절대적으로 필요한 공공의 기반산업에 해당된다. 지금까지 수행되어 왔던 자원 탐사사업의 대부분은 비교적 개발이 용이한 천부 광상들에 집중되어 왔으며, 천부 광상들의 과도한 개발로 인하여 자원탐사의 범위가 점차 심부화 되고있는 실정이다. 지하 심부에 분포하는 광상들을 효율적으로 탐사해 내기 위해서는 분지 내 심부 퇴적층들에 대한 정밀한 대비와 평가가 요구된다. 그러나, 그 동안 천부 광상들의 평가에 적용되어 왔던 기재적 층서 원리들로는 심부에 분포하는 광상들을 노출해 내는데 한계가 있어 왔다. 따라서, 분지 내 퇴적층들에 대한 보다 명확한 이해를 위해 새로운 고해상도의 층서틀 수립이 시급하다. 본 연구에서는 태백산분지 오오도비스 중기퇴적층들에 대한 통합 층서적 접근을 통하여 고해상도 층서틀 수립에 대한 예를 제시하고자 한다. 이러한 통합 층서적 접근은 퇴적 분지의 지체구조적 진화에 따른 층서를 규명하는데 있어서 보다 나은 통찰을 제공하고 있으며, 아울러 분지 내 비금속 및 금속 광물자원 탐사 및 개발사업의 효율성을 증대 시키는데 사용될 수 있을 것이다. 따라서, 통합 층서적 접근을 통한 퇴적층들에 대한 고해상도 층서틀 수립은 분지 내에 부존 되어 있는 모든 형태의 자원 탐사 덴 개발사업에 있어서 성공률을 극대화 시킬 수 있는 새초운 층서적 규범으로 강조되어져야 한다.

• The Journal of Asian Finance, Economics and Business
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• 제8권3호
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• pp.411-422
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• 2021

Technological adaption and innovative activities foster small and medium enterprises (SMEs) growth, especially women-owned SMEs in Pakistan, However, the impact of technological adaption and innovative activities on SMEs growth in the context of Pakistan has been examined by very researchers. This study aims to identify the effect of technology and open innovation policies on the growth of women-owned SMEs and the present trends and management challenges for successful full implementation of open innovation. The study considered a sample of 693 women enterprises located in different cities in Pakistan. Open innovation is measured through eight innovative practices, reflecting the exploration and exploitation of technology in SMEs. Study findings revealed that women enterprises were involved in several open innovation policies during the last five years. Moreover, the study indicated no significant differences between manufacturing and service SMEs regarding open innovation practices; however, women enterprises are more impressively engaged in open innovation practices. Findings also reveal that women-owned SMEs follow open innovation, mainly for market-related intentions, to compete with competitors and meet customers' demands. Thus, it is suggested that government policy relating to thriving SMEs owned by women should be innovation-oriented. The study contributes to the theoretical and practical implications. Further, the study is helpful for SMEs, researchers, practitioners, and decision-makers.

• 복식문화연구
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• 제32권1호
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• pp.38-57
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• 2024

This study utilizes social big data to investigate the factors influencing the awareness, attitude, and behavior toward vegan fashion consumption among global and Korean consumers. Social media posts containing the keyword "vegan fashion" were gathered, and meaningful discourse patterns were identified using semantic network analysis and sentiment analysis. The study revealed that diverse factors guide the purchase of vegan fashion products within global consumer groups, while among Korean consumers, the predominant discourse involved the concepts of veganism and ethics, indicating a heightened awareness of vegan fashion. The research then delved into the factors underpinning awareness (comprehension of animal exploitation, environmental concerns, and alternative materials), attitudes (both positive and negative), and behaviors (exploration, rejection, advocacy, purchase decisions, recommendations, utilization, and disposal). Global consumers placed great significance on product-related information, whereas Korean consumers prioritized ethical integrity and reasonable pricing. In addition, environmental issues stemming from synthetic fibers emerged as a significant factor influencing the awareness, attitude, and behavior regarding vegan fashion consumption. Further, this study confirmed the potential presence of cultural disparities influencing overall awareness, attitude, and behavior concerning the acceptance of vegan fashion, and offers insights into vegan fashion marketing strategies tailored to specific cultures, aiming to provide vegan fashion companies and brands with a deeper understanding of their consumer base.

• 지식경영연구
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• 제16권1호
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• pp.95-115
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• 2015

This paper attempts to delineate and analyze the relationship between organizational search activities and organizational ambidexterity. A growing number of studies confirm that organizational ambidexterity is important for firm survival and long-term prosperity. However, research on how to achieve ambidexterity is still limited. To date, structural separation, contextul ambidexterity, and top management team attributes are proposed and examined as major antecedents of organizational ambidexterity. In this paper, I argue that orgnizational search may influence ambidexterity through its effect on exxploratory innovation and exploitative innovation. Since little study has been paid to uncover the relationship between knowledge search and ambidexterity, I develop theoretical arguments and propose some propositions rather than examine hypotheses. The propositions developed in the study are as follows; P1: The breadth of internal search is positively associated with exploratory innovation; P2: The breadth of external search has a reverse U-shaped relationship with exploratory innovation; P3: The depth of internal search is positively associated with exploitative innovation; P4: The depth of external search has a reverse U-shaped relationship with exploitative innovation; P5: The interaction between internal search breadth and internal search depth is positively associated with organizational ambidexterity; P6: The interaction between external search breadth and external search depth is positively associated with organizational ambidexterity. Based on the above propositions, I suggest some considerations for empirical research and propose avenues for future research.

• Computers and Concrete
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• 제11권6호
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• pp.541-569
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• 2013

There is a wide variety of existing Genetic Algorithms (GA) operators and parameters in the literature. However, there is no unique technique that shows the best performance for different classes of optimization problems. Hence, the evaluation of these operators and parameters, which influence the effectiveness of the search process, must be carried out on a problem basis. This paper presents a comparison for the influence of GA operators and parameters on the performance of the damage identification problem using the finite element model updating method (FEMU). The damage is defined as reduction in bending rigidity of the finite elements of a reinforced concrete beam. A certain damage scenario is adopted and identified using different GA operators by minimizing the differences between experimental and analytical modal parameters. In this study, different selection, crossover and mutation operators are compared with each other based on the reliability, accuracy and efficiency criteria. The exploration and exploitation capabilities of different operators are evaluated. Also a comparison is carried out for the parallel and sequential GAs with different population sizes and the effect of the multiple use of some crossover operators is investigated. The results show that the roulettewheel selection technique together with real valued encoding gives the best results. It is also apparent that the Non-uniform Mutation as well as Parent Centric Normal Crossover can be confidently used in the damage identification problem. Nevertheless the parallel GAs increases both computation speed and the efficiency of the method.

• Geomechanics and Engineering
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• 제13권3호
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• pp.371-384
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• 2017

Physical and mechanical properties of rocks are of interest in many fields, including materials science, petrophysics, geophysics and geotechnical engineering. Uniaxial compressive strength UCS is one of the key mechanical properties, while density and porosity are important physical parameters for the characterization of rocks. The economic interest of carbonate rocks is very important in chemical or biological procedures and in the field of construction. Carbonate rocks exploitation depends on their quality and their physical, chemical and geotechnical characteristics. A fast, economic and reliable technique would be an evolutionary advance in the exploration of carbonate rocks. This paper discusses the ability of ultrasonic wave velocity to evaluate some mechanical and physical parameters within carbonate rocks (collected from different regions within Tunisia). The ultrasonic technique was used to establish empirical correlations allowing the estimation of UCS values, the density and the porosity of carbonate rocks. The results illustrated the behavior of ultrasonic pulse velocity as a function of the applied stress. The main output of the work is the confirmation that ultrasonic velocity can be effectively used as a simple and economical non-destructive method for a preliminary prediction of mechanical behavior and physical properties of rocks.

• Journal of Computational Design and Engineering
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• 제3권3호
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• pp.226-249
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• 2016

The symbiotic organisms search (SOS) algorithm is an effective metaheuristic developed in 2014, which mimics the symbiotic relationship among the living beings, such as mutualism, commensalism, and parasitism, to survive in the ecosystem. In this study, three modified versions of the SOS algorithm are proposed by introducing adaptive benefit factors in the basic SOS algorithm to improve its efficiency. The basic SOS algorithm only considers benefit factors, whereas the proposed variants of the SOS algorithm, consider effective combinations of adaptive benefit factors and benefit factors to study their competence to lay down a good balance between exploration and exploitation of the search space. The proposed algorithms are tested to suit its applications to the engineering structures subjected to dynamic excitation, which may lead to undesirable vibrations. Structure optimization problems become more challenging if the shape and size variables are taken into account along with the frequency. To check the feasibility and effectiveness of the proposed algorithms, six different planar and space trusses are subjected to experimental analysis. The results obtained using the proposed methods are compared with those obtained using other optimization methods well established in the literature. The results reveal that the adaptive SOS algorithm is more reliable and efficient than the basic SOS algorithm and other state-of-the-art algorithms.

• 지식경영연구
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• 제16권2호
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• pp.249-278
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• 2015

Employees' knowledge integration capabilities and innovative behavior are still of crucial importance in the effective knowledge management. Recently researchers and practitioners are interested in both the potential benefits of unlearning and the negative aspects of learning inertia. The purpose of this study is to examine the relationships among learning inertia, unlearning, knowledge integration capabilities(knowledge exploitation and knowledge exploration) and innovative behavior. The results of analysis show that learning inertia is employees' psychological obstacle factor affecting knowledge integration capabilities and unlearning, that unlearning of employees is a key factor affecting knowledge integration capabilities, and that knowledge integration capabilities are driving forces leading to innovative behaviors of employees. For theoretical and practical implications, the research presents the grounds for arguments that knowledge integration capabilities are employees' dynamic capabilities from the knowledge management perspective, that unlearning is a driving force of employees' positive behaviors, and that organizations trying to perform the dynamic knowledge management need to identify the causes of employees' psychological resistance to learning. Limitations arisen in the course of the research and suggestions for future research directions are also discussed.