• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2000년도 춘계학술대회 학술발표 논문집
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• pp.236-240
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• 2000

A cellular automaton is well-known for self-organizing and dynamic behaviors in the field of artificial life. This paper addresses a new neuronic architecture called an evolvable cellular classifier which evolves with the genetic rules (chromosomes) in the non-uniform cellular automata. An evolvable cellular classifier is primarily based on cellular programing, but its mechanism is simpler because it utilizes only mutations for the main genetic operators and resembles the Hopfield network. Therefore, the desirable hi t-patterns could be obtained through evolutionary processes for just one individual agent. As a result, an evolvable hardware is derived which is applicable to classification of bit-string information.

• 한국산학기술학회:학술대회논문집
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• 한국산학기술학회 2004년도 춘계학술대회
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• pp.217-220
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• 2004

'Dynamic Neural Unit'(DNU) based upon the topology of a reverberating circuit in a neuronal pool of the central nervous system. In this thesis, we present a genetic DNU-control scheme for unknown nonlinear systems. Our methodis different from those using supervised loaming algorithms, such as the backpropagation (BP) algorithm, that needs training information In each step. The contributions of this thesis are the new approach to constructing neural network architecture and its trainin.

• 한국산학기술학회:학술대회논문집
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• 한국산학기술학회 2007년도 추계학술발표논문집
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• pp.81-84
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• 2007

In this thesis, we have designed the indirect adaptive controller using Dynamic Neural Units(DNU) for unknown nonlinear systems. Proposed indirect adaptive controller using Dynamic Neural Unit based upon the topology of a reverberating circuit in a neuronal pool of the central nervous system. In this thesis, we present a genetic DNU-control scheme for unknown nonlinear systems. Our method is different from those using supervised learning algorithms, such as the backpropagation (BP) algorithm, that needs training information in each step. The contributions of this thesis are the new approach to constructing neural network architecture and its training.

• 대한조선학회논문집
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• 제56권4호
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• pp.316-326
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• 2019

In this paper, a methodology is presented for determining the optimal lamination of composite cylindrical structures subject to hydrostatic pressure. The strength criterion in association with the process of optimal design is the buckling collapse of composite cylinders under hydrostatic pressure loads. An empirical formula expressed in the form of the Merchant-Rankine equation is used to calculate the ultimate strength of filament-wound composite cylinders where genetic algorithm is applied for determining the optimized stacking sequences. It is shown that the optimized lamination provides improved collapse pressure loads. It is concluded that the developed method would be useful for the optimal lamination design of composite cylindrical structures.

• Structural Engineering and Mechanics
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• 제70권3호
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• pp.367-380
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• 2019

The paper concerns topology and geometry optimization of statically determinate beams with arbitrary number of supports. The optimization problem is treated as a bi-criteria one, with the objectives of minimizing the absolute maximum bending moment and the maximum deflection for a uniform gravity load. The problem is formulated and solved using the Pareto optimality concept and the lexicographic ordering of the objectives. The non-dominated sorting genetic algorithm NSGA-II and the local search method are used for the optimization in the Pareto sense, whereas the genetic algorithm and the exhaustive search method for the lexicographic optimization. Trade-offs between objectives are examined and sets of Pareto-optimal solutions are provided for different topologies. Lexicographically optimal beams are found assuming that the maximum moment is a more important criterion. Exact formulas for locations and values of the maximum deflection are given for all lexicographically optimal beams of any topology and any number of supports. Topologies with lexicographically optimal geometries are classified into equivalence classes, and specific features of these classes are discussed. A qualitative principle of the division of topologies equivalent in terms of the maximum moment into topologies better and worse in terms of the maximum deflection is found.

• 아시안잔디학회지
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• 제22권1호
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• pp.13-24
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• 2008

한국잔디류의 교배조합 계통간 자웅성기관 발육의 차이를 구명하고, 형질의 유전특성을 파악하여, 자연 방임수분 조건에서 타가수분율을 추산하여, 자연방임조건의 교배를 이용한 한국잔디류의 합성품종의 육성 가능성을 확인해 보고자 본 연구를 수행하였다. 한국잔디류 중 형태적으로 특성이 있는 5개 종 및 품종을 사용하여 실험을 수행하였다. 교배조합을 포장에 식재한 후에 암술과 수술의 개화시기를 조사하였으며, 종자를 수확하여 육묘한 후에 후대들의 형태적 특성을 이용하여 형질의 유전특성을 조사하였다. 형태적 특성중 줄기의 기부색을 이용하여 타식률을 조사하였다. 자연방임수분 후대들의 형태적 특성을 이용한 유전특성 비교에서 잎털의 유무, 초장, 분얼경수는 변이의 폭이 크게 나타났고, 엽폭은 종자친의 형질을 많이 따랐으며, 전체적으로는 종자친과 화분친의 영향 없이 한쪽의 모본에서 영향을 받은 형이 가장 많이 나타났다. 모본간의 중간특성을 많이 나타낸 기부색은 각 개체들의 교배여부를 확인할 수 있는 지표로 활용할 수 있었다. 기부색을 이용한 타가수분율 추정은 자웅성기관의 개화시기가 비슷하고 양친의 특성에 차이가 있어 교배를 확인할 수 있는 조합에서 가능하였고, 교배 조합간에 타가수분율에 차이를 보였으나 본 실험에서는 타가수분율이 11.3-48.9(로 추산되어 타식이 발생되는 것을 확인하였고, 한국잔디가 방임수분을 통한 합성품종 육성의 가능성이 있는 것으로 판단되었다.

• 전자공학회논문지CI
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• 제39권3호
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• pp.18-31
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• 2002

본 연구는 뉴로퍼지 네트워크와 다항식 뉴럴네트워크를 합성한 하이브리드 모델링 구조인 고급 뉴로퍼지 다항식 네트워크(Advanced neurofuzzy polynomial networks ; ANFPN)를 제안한다. 제안된 네트워크 구조는 높은 비선형 규칙 기반 모델로, CI(Computational Intelligence)의 기술, 즉 퍼지집합, 뉴럴네트워크, 유전자 알고리즘에 의해 설계되어진다. 뉴로퍼지 네트워크는 ANFPN 구조의 전반부를, 다항식 뉴럴네트워크는 후반부를 구성한다. ANFPN의 전반부에서, 뉴로퍼지 네트워크는 간략추론, 오류역전파 학습 규칙을 이용한다. 멤버쉽함수의 파라미터, 학습율, 모멘텀 계수는 유전자 최적화를 이용하여 조절된다. ANFPN의 후반부 구조로서 다항식 뉴럴네트워크는 학습을 통해 생성되는(전개되는) 유연한 네트워크 구조이다. 특히 다항식 뉴럴네트워크의 층과 노드 수는 고정되어 있지 않고 동적으로 생성된다. 본 연구에서는, 2가지 형태의 ANFPN 구조를 제안한다. 즉 기본 구조와 변형된 구조이다. 여기서 기본 구조와 변형된 구조는 다항식 뉴럴네트워크 구조의 각 층에서 입력변수의 수와 회귀다항식의 차수에 의존한다. 두 결합 구조의 특징 때문에 공정 시스템의 비선형적인 특성을 고려할 수 있고 보다 우수한 예측능력을 가진 좋은 출력선응을 얻을 수 있게 한다. ANFPN의 유용성과 실용성은 2개의 수치 예제를 통해 논의된다. 제안된 ANFPN은 기존의 모델보다 높은 정밀도와 예측능력을 가진 모델을 생성함을 보인다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2001년도 합동 추계학술대회 논문집 정보 및 제어부문
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• pp.424-427
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• 2001

In this study, we introduce a concept of neurofuzzy polynomial networks (NFPN), a hybrid modeling architecture combining neurofuzzy networks (NFN) and polynomial neural networks(PNN). NFN contributes to the formation of the premise part of the rule-based structure of the NFPN. The consequence part of the NFPN is designed using PNN. The parameters of the membership functions, learning rates and momentum coefficients are adjusted with the use of genetic optimization. We introduce two kinds of NFPN architectures, namely the basic and the modified one. Owing to the specific features of two combined architectures, it is possible to consider the nonlinear characteristics of process system and to obtain the better output performance with superb predictive ability.

• 한국공간구조학회논문집
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• 제16권4호
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• pp.91-100
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• 2016

A retractable-roof spatial structure is frequently used for a stadium and sports hall. A retractable-roof spatial structure allows natural lighting, ventilation, optimal conditions for grass growth with opened roof. It can also protects users against various weather conditions and give optimal circumstances for different activities. Dynamic characteristics of a retractable-roof spatial structure is changed based on opened or closed roof condition. A tuned mass damper (TMD) is widely used to reduce seismic responses of a structure. When a TMD is properly tuned, its control performance is excellent. Opened or closed roof condition causes dynamic characteristics variation of a retractable-roof spatial structure resulting in off-tuning. This dynamic characteristics variation was investigated. Control performance of a passive TMD and a smart TMD were evaluated under off-tuning condition.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 1998년도 봄 학술발표회 논문집
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• pp.245-253
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• 1998

Recently, the importance of multi-objective optimization techniques and stochastic search methods is increasing. The stochastic search methods have the concepts of the survival of the fittest and natural selection such as genetic algorithms(GA), simulated annealing(SA) and evolution strategies (ES). As many accidents of oil tankers cause marine pollution, oil tankers of double hull or mid deck structure are being built to minimize the marine pollution. For the improvement of oil tanker design technique, an efficient optimization technique is proposed in this study. Multi-objective optimization problem of weight and cost of double hull and mid deck tanker is formulated. Discrete design variables are used considering real manufacturing, and the concept of relative production cost is also introduced. The ES method is used as an optimization technique, and the ES algorithm was developed to generate a more efficient Pareto optimal set.