• Proceedings of the Computational Structural Engineering Institute Conference
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• 2004.10a
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• pp.379-386
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• 2004

The optimal seismic retrofitting of NPP(Nuclear Power Plant) cabinet structures that contained class 1 relays were studies in this paper. During earthquake event, the failure modes of relays are not appeared in form of structural failure, but are appeared in form of contact chatter of relay. Therefore, the retrofitting of cabinet has to be aimed to the reducing of the structural response, such as acceleration. In this study, the optimal characteristic values of dampers were searched by μ-GA (micro-Genetic Algorithm) scheme for several installation patterns. To keep accuracy and efficiency of analysis, the structural models of cabinet were considered as a frame structure. The responses of structure were obtained in form of acceleration response spectra derived from the results of nonlinear time history analysis including damping nonlinearity. The fitness function of the optimum procedure was constructed based on the ratio of maximum spectral value and target GERS (General Equipment Ruggedness Spectra). The results show the good improvements of fitness fur adequate retrofitting pattern. Especially, the improvements of fitness were remarkable when the damping exponents are proper.

• Korean Journal of Rural Living Science
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• v.5 no.2
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• pp.93-106
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• 1994

The purpose of this study was to develop the pattern of bodysuit and to identify the wear fitness of it The methods of statistical analysis applied to the study were ANOVA and cluster analysis. The materials used in making bodysuit were Nylon/Polyurethane, lace, power net, binding tape, and hook eye. The try-on test was administered in two aspects ; (1) the comparison of anthropometric data before and after trying on the experimentally constructed bodysuit with those of marketing bodysuit, (2) the sensory evaluation to estimate the wear fitness in terms of appearance and motion function. The conclusions obtained are as follows ; 1. In the survey of wearing state, 52.2% of respondents had experience of wearing bodysuit. 60.6% of them responded to the item, “well-balanced body” in the question about the purpose of wearing it. 55.7% considered the item, “feel choky in the chest” as uncomfortable point in putting on bodysuit. 48.3% felt the portion of crotch drawn above in taking exercise or behaving routinely in everyday life. 2. As for the characteristics of the bodysuit design, the scooped neckline and horizontal outline without wire in lower bust was used, the adjust point being located right above the perineum point, and the length of bodysuit is as far as trochanteric point. 3. In comparing anthropometric data of the subjects, there was significant difference in the height of lower bust the distance around abdomen, and the length of bust point(right, left) between the experimentally constructed bodysuit and the marketing bodysuit. 4. Concerning the results of the try-on test in appearance, the estimates of expert panel, which were in agreement with those of subjects in mean value and composite reliability coefficient, showed that the pattern fitness of experimentally designed bodysuit was higher than that of marketing bodysuit. 5. To take try-on test in motion function, motion was classified the five steps. The results of the test showed that experimentally designed bodysuit was fitter in each steps of motion than marketing bodysuit.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.47 no.3
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• pp.67-75
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• 2010

This paper proposes a bacteria cooperative optimization (BCO) method applying individuals's speed for the performance improvements. All individuals in existing BCO methods move the same length at the same time because their speeds are constant. These methods had the problem that the individuals couldn't find the global optimum effectively because good individuals and bad individuals had same speeds. In order to overcome this problem, we applied the speed concept to the BCO algorithm that individuals moved different lengths according to their speeds assigned by the ranks of individuals according to the fitness of individuals. That is to say, we provide high speeds to bad individuals with low fitness in order to fast move to the areas with high fitness and provide low speeds to good individuals with high fitness because they may be near global optimum. It was found from experimental results of four function optimization problems that the proposed method outperformed the existing methods. Our method showed better performances even than the rank replacement method. This means that applying speed concepts to the individuals for BCO is very effective and efficient.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.33B no.6
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• pp.102-110
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• 1996

A new design scheme of a binary decision tree is proposed. In this scheme a binary decision tree is constructed by using genetic algorithm and FCM algorithm. At each node optimal or near-optimal feature subset is selected which optimizes fitness function in genetic algorithm. The fitness function is inversely proportional to classification error, balance between cluster, number of feature used. The binary strings in genetic algorithm determine the feature subset and classification results - error, balance - form fuzzy partition matrix affect reproduction of next genratin. The proposed design scheme is applied to the tire tread patterns and handwriteen alphabetic characters. Experimental results show the usefulness of the proposed scheme.

• Journal of Welding and Joining
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• v.24 no.5
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• pp.67-73
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• 2006

Laser welding is suitable for welding to the aluminum alloy sheet. In order to apply the aluminum laser welding to production line, parameters should be optimized. In this study, the optimal welding condition was searched through the genetic algorithm in laser welding of AA5182 sheet with AA5356 filler wire. Second-order polynomial regression model to estimate the tensile strength model was developed using the laser power, welding speed and wire feed rate. Fitness function for showing the performance index was defined using the tensile strength, wire feed rate and welding speed which represent the weldability, product cost and productivity, respectively. The genetic algorithm searched the optimal welding condition that the wire feed rate was 2.7 m/min, the laser power was 4 kW and the welding speed was 7.95 m/min. At this welding condition, fitness function value was 137.1 and the estimated tensile strength was 282.2 $N/mm^2$.

• Proceedings of the Korea Contents Association Conference
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• 2009.05a
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• pp.648-651
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• 2009

Using a mode-matching technique, a waveguide structure with multiple stubs which is utilized as the component of various communication systems has frequency filtering characteristics. We define a proper fitness function to automatically design the pass and stop bands of a waveguide structure with multiple stubs for frequency filtering and the genetic algorithm can be implemented with the fitness function proposed in this paper. The frequency filtering characteristics are numerically computed and parametric sweeps are also performed.

• Journal of Advanced Marine Engineering and Technology
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• v.24 no.3
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• pp.99-105
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• 2000

For multi-body dynamic problems. especially coalescent eigenvalue problems with multiobjective optimization, the design sensitivity analysis is too much complicated mathematically and numerically. Therefore, this article proposes a new technique for structural dynamic modification using a mode modification and homologous structures design method with Genetic Algorithm(GA). In this work, the homologous structure of the resiliently mounted multi-body for marine diesel generator systems is studied and the problem is treated as a combinational optimization problem using the GA. In GA formulation, fitness is defined based on penalty function approach. That include homology, allowable stress and minimum weight of common plate.

• Journal of the Korean Society for Precision Engineering
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• v.17 no.5
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• pp.93-99
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• 2000

In many dynamic structural optimization problems, the goal is to reduce the total weight of the structure without causing the resonance. Up to now, gradient informations(i.e., design sensitivity) have been used to achieve the goal. For some class of dynamic problems, especially coalescent eigenvalue Problems with multiobjective optimization, the design sensitivity analysis is too much complicated mathematically and numerically. Therefore, this article proposes a new technique fur structural dynamic modification using a mode modification method with Genetic Algorithm(GA). In GA formulation, fitness is defined based on penalty function approach. Design variables are iteratively improved by using genetic algorithm. Two numerical examples are shown, (ⅰ) a cantilevered plate, and (ⅱ) H-shaped structure. The results demonstrate that the proposed method is highly efficient.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 1997.10a
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• pp.155-162
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• 1997

Genetic algorithms(GA) are based on the principles of natural genetics and natural selection. The algorithm searches an optimum design point using information based on the fitness function evaluated for the population of many design points. An application of GA on optimal design of a truss structure is studied. The terminology and the operating procedures common in GA are formalized by establishing similarities between GA and genetics from biology. In using GA, (1) coding of the design variables, (2) formulation of the fitness function, (3) setting of the termination condition, and (4) establishment of the probabilities are essential. These four points are discussed in the paper.

• International Journal of Control, Automation, and Systems
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• v.2 no.3
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• pp.298-309
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• 2004

In this paper, a new evolutionary scheme to design a TSK fuzzy model from relevant data is proposed. The identification of the antecedent rule parameters is performed via the evolutionary algorithm with the unique fitness function and the various evolutionary operators, while the identification of the consequent parameters is done using the least square method. The occurrence of the multiple overlapping membership functions, which is a typical feature of unconstrained optimization, is resolved with the help of the proposed fitness function. The proposed algorithm can generate a fuzzy model with transparent membership functions. Through simulations on various problems, the proposed algorithm found a TSK fuzzy model with better accuracy than those found in previous works with transparent partition of input space.