• Journal of Ship and Ocean Technology
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• 제5권2호
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• pp.14-26
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• 2001

This paper presents a novel design approach that could generate structural design alternatives having different topologies and then, select the optimum structure from them with simulataneously determining its optimum design variables related to geometry and the member size subjected to the multiple objective design environments. For this purpose, a specialized genetic algorithm, called StrGA_DeAl + MOGA, which can handle the design alternatives and multi-criteria problems very effectively, is developed for the optimal structural design. To validate the developed method, method, plain truss design problems are considered as illustrative example. To begin with, some possible topological of the truss structure are suggested based on the stability criterion that should be satisfied under the given loading condition. Then, with the consideration of the given multi-criteria, several different topology forms are selected as design alternatives for the second step of the conceptual design process. Based on the chosen topolgy of truss structures, the sizing or shaping optimization process starts to determine the optimum design parameters. Ten-bar truss problems are given in the paper to confirm the above concept and methodology.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2007년도 춘계학술대회B
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• pp.2690-2695
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• 2007

This work presents numerical optimization for design of a blade stacking line of a low speed axial flow fan with a fast and elitist Non-Dominated Sorting of Genetic Algorithm (NSGA-II) of multi-objective optimization using three-dimensional Navier-Stokes analysis. Reynolds-averaged Navier-Stokes (RANS) equations with ${\kappa}-{\varepsilon}$ turbulence model are discretized with finite volume approximations and solved on unstructured grids. Regression analysis is performed to get second order polynomial response which is used to generate Pareto optimal front with help of NSGA-II and local search strategy with weighted sum approach to refine the result obtained by NSGA-II to get better Pareto optimal front. Four geometric variables related to spanwise distributions of sweep and lean of blade stacking line are chosen as design variables to find higher performed fan blade. The performance is measured in terms of the objectives; total efficiency, total pressure and torque. Hence the motive of the optimization is to enhance total efficiency and total pressure and to reduce torque.

• Journal of Electrical Engineering and Technology
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• 제7권4호
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• pp.501-512
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• 2012

Social welfare maximization in a double-sided auction market is performed by implementing an aggregation-based particle swarm optimization (CAPSO) algorithm for optimal placement and sizing of one Static Synchronous Series Compensator (SSSC) device. Dallied simulation results (without/with line flow constraints and without/with SSSC) are generated to demonstrate the impact of SSSC on the congestion levels of the modified IEEE 14-bus test system. The proposed CAPSO algorithm employs conventional quadratic smooth and augmented quadratic nonsmooth generator cost curves with sine components to improve the accurate of the model by incorporating the valve loading effects. CAPSO also employs quadratic smooth consumer benefit functions. The proposed approach relies on particle swarm optimization to capture the near-optimal GenCos and DisCos, as well as the location and rating of SSSC while the Newton based load flow solution minimizes the mismatch equations. Simulation results of the proposed CAPSO algorithm are compared to solutions obtained by sequential quadratic programming (SQP) and a recently implemented Fuzzy based genetic algorithm (Fuzzy-GA). The main contributions are inclusion of customer benefit in the congestion management objective function, consideration of nonsmooth generator characteristics and the utilization of a coordinated aggregation-based PSO for locating/sizing of SSSC.

• 품질경영학회지
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• 제39권1호
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• pp.98-108
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• 2011

Clustering is an useful method to classify objects into subsets that have some meaning in the context of a particular problem and has been applied in variety of fields, customer relationship management, data mining, pattern recognition, and biotechnology etc. This paper addresses the unknown K clustering problems and presents a new approach based on a coevolutionary algorithm to solve it. Coevolutionary algorithms are known as very efficient tools to solve the integrated optimization problems with high degree of complexity compared to classical ones. The problem considered in this paper can be divided into two sub-problems; finding the number of clusters and classifying the data into these clusters. To apply to coevolutionary algorithm, the framework of algorithm and genetic elements suitable for the sub-problems are proposed. Also, a neighborhood-based evolutionary strategy is employed to maintain the population diversity. To analyze the proposed algorithm, the experiments are performed with various test-bed problems which are grouped into several classes. The experimental results confirm the effectiveness of the proposed algorithm.

• Structural Engineering and Mechanics
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• 제41권2호
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• pp.231-242
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• 2012

This research work aims to develop an optimal design using Finite Element (FE) and Genetic Algorithm (GA) methods to replace the traditional concrete and timber material by a Synthetic Polyurethane fibre glass composite material in railway sleepers. The conventional timber railway sleeper technology is associated with several technical problems related to its durability and ability to resist cutting and abrading action of the bearing plate. The use of pre-stress concrete sleeper in railway industry has many disadvantages related to the concrete material behaviour to resist dynamic stress that may lead to a significant mechanical damage with feasible fissures and cracks. Scientific researchers have recently developed a new composite material such as Glass Fibre Reinforced Polyurethane (GFRP) foam to replace the conventional one. The mechanical properties of these materials are reliable enough to help solving structural problems such as durability, light weight, long life span (50-60 years), less water absorption, provide electric insulation, excellent resistance of fatigue and ability to recycle. This paper suggests appropriate sleeper design to reduce the volume of the material. The design optimization shows that the sleeper length is more sensitive to the loading type than the other parameters.

• 대한한의학회지
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• 제35권3호
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• pp.40-48
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• 2014

Objectives: This study aimed to review the characteristics of personalized medicine and Korean medicine, and the correlation between personalized medicine and Korean medicine. Methods: We investigated various studies in PubMed, Scopus and domestic Korean medicine journals. In addition, we discussed the topic based on literature. Results: Western medicine developed as evidence-based medicine. However, its limitations are being reached, so a new paradigm of medicine is needed. As a result, personalized medicine has appeared. Recently, through the development of human genomics, personalized medicine has been researched on the basis of individual genetic characteristics. Korean medicine has developed with a unique holistic approach and treats not the disease itself but the patient's body. Its characteristic is well expressed through syndrome differentiation and treatment. Syndrome differentiation represents the nature of person-centered medicine and becomes the root of personalized medicine. Conclusions: Compared with genome-based personalized medicine of Western medicine, Korean medicine could be classified as syndrome-based personalized medicine. It would be great to apply this characteristic to clinical practices.

• 한국환경복원기술학회지
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• 제6권4호
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• pp.17-23
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• 2003

Restoration ecology is undergoing rapid growth as academic field over the last 15 years. The specification of goals for restoration projects is frequently described as the most important component of a project. The endeavor for universal development of goals for ecological restoration continues to generate many discussion and controversy. I discuss the importance of restoration goals and diverse roots of restoration ecology, and show how the complex lineages within restoration ecology. I review the three major theme that currently are used to develop the restoration goals : restoration of species, restoration of whole ecosystem or landscapes, and the restoration of ecosystem services. Restoration ecology, landscape ecology and conservation biology share goals to conserve biodiversity, but differ in focus of approach. I review the differences among three fields. Conservation biology has been more zoological, more descriptive, and theoretical, and more emphasized the population and genetic research. However, restoration ecology has been more plant ecological, more experimental, and emphasized the community and plant succession. Landscape ecology has emphasized the interaction of ecosystem and dispersal among populations. I suggest the integration of restoration ecology, landscape ecology and conservation biology. For example, conservation biology will contribute to the preservation of original habitats by population study, restoration ecology will contribute to regenerate damaged ecosystem and ex situ preservation, and landscape ecology will contribute to restoration of population and landscape.

• 한국생산제조학회지
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• 제22권5호
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• pp.859-864
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• 2013

Creation of a stress relief groove is a fairly simple yet high-performance method. During the application of this method, it is important to consider the location and size of the groove in order to achieve better performance. Consequently, this research proposes an approach for optimizing the application of the stress relief groove method to a press-fitted assembly. In a boss design, the position and diameter of the groove are configured as design variables and the design of experiments is applied. Based on this information, a 3D model is built and analyzed using the finite element analysis software ABAQUS. Meta-models are created using back-propagation neural networks. Then, deterministic optimization results obtained from a genetic algorithm are compared with the results of the finite element analysis. The temperature sensitivity of the optimized model is analyzed, and finally, reliability-based design optimization is conducted for enhancing the design quality.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권6호
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• pp.2870-2888
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• 2017

Recent studies have shown that the flow table size of hardware SDN switch cannot match the number of concurrent flows. Combined SDN Forwarding Element (CFE), which comprises several software switches and a hardware switch, becomes an alternative approach to tackle this problem. Due to the limited capacity of software switch, the way to route concurrent flows in CFE can largely affect the maximum delay that a flow suffers at CFE. As delay-guarantee is a nontrivial task for network providers with the increasing number of delay-sensitive applications, we propose an analytical model of CFE to evaluate a rules placement solution first. Next, we formulate the problem of Rules Placement with delay guarantee in CFE (RPCFE), and present the genetic-based rules placement (GARP) algorithm to solve the RPCFE problem. Further, we validate the analytical model of CFE through simulations in NS-3 and compare the performance of GARP with three benchmark algorithms.

• Mycobiology
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• 제45권1호
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• pp.31-38
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• 2017

Cordyceps militaris, known as Dong-Chong-Xia-Cao, produces the most cordycepin among Cordyceps species and can be cultured artificially. For these reasons, C. militaris is widely used as herb or functional food in the East Asia. In this study, we developed a new strain of C. militaris that produces higher cordycepin content than parent strains through mating-based sexual reproduction. Twenty parent strains were collected and identified as C. militaris based on internal trasncrived spacer and rDNA sequences. Seven single spores of MAT 1-1 idiomorph and five single spores of MAT 1-2 idiomorph were isolated from 12 parent strains. When 35 combinations were mated on the brown rice medium with the isolated single spores, eight combinations formed a stroma with a normal perithecia and confirmed mated strains. High pressure liquid chromatography analysis showed that mated strain KSP8 produced the most cordycepin in all the media among all the tested strains. This result showed due to genetic recombination occurring during the sexual reproduction of C. militaris. The development of C. militaris strain with increased cordycepin content by this approach can help not only to generate new C. militaris strains, but also to contribute to the health food or medicine industry.