• 제어로봇시스템학회:학술대회논문집
• /
• 2005.06a
• /
• pp.1086-1091
• /
• 2005

This paper focuses on intelligent control of induction motor by hybrid system consisting of GA-PSO. Induction motor has been using in industrial area. However, it is challengeable on how we control effectively. From this point, an optimal solution using GA (Genetic Algorithm) and PSO (Particle Swarm Optimization) is introduced to intelligent control. In this case, it is possible to obtain local solution because chromosomes or individuals which have only a close affinity can convergent. To improve an optimal learning solution of control, This paper deal with applying PSO and Euclidian data distance to mutation procedure on GA's differentiation. Through this approaches, we can have global and local optimal solution together, and the faster and the exact optimal solution without any local solution. Four test functions are used for proof of this suggested algorithm.

• Journal of the Korea Society of Computer and Information
• /
• v.20 no.9
• /
• pp.21-29
• /
• 2015

The set partitioning problem is a well-known NP-hard combinatorial optimization problem, and it is formulated as an integer programming model. This paper proposes an Integer Programming-based Local Search for solving the set partitioning problem. The key point is to solve the set partitioning problem as the set covering problem. First, an initial solution is generated by a simple heuristic for the set covering problem, and then the solution is set as the current solution. Next, the following process is repeated. The original set covering problem is reduced based on the current solution, and the reduced problem is solved by Integer Programming which includes a specific element in the objective function to derive the solution for the set partitioning problem. Experimental results on a set of OR-Library instances show that the proposed algorithm outperforms pure integer programming as well as the existing heuristic algorithms both in solution quality and time.

• Journal of the Korean Institute of Telematics and Electronics S
• /
• v.34S no.5
• /
• pp.52-65
• /
• 1997

For the degradation of severe noise and ill-conditioned blur the optimization function has the solution spaces which have many local optima around global solution. General restoration methods such as inverse filtering or gradient methods are mainly dependent on the properties of degradation model and tend to be isolated into a local optima because their convergences are determined in the convex space. Hence we introduce genetic algorithm as a searching method which will search solutions beyond the convex spaces including local solutins. In this paper we introudce improved evaluation square error) and fitness value for gray scaled images. Finally we also proposed the local fine tunign of window size and visit number for delicate searching mechanism in the vicinity of th global solution. Through the experiental results we verified the effectiveness of the proposed genetic operators and evaluation function on noise reduction over the conventional ones, as well as the improved performance of local fine tuning.

• Proceedings of the Computational Structural Engineering Institute Conference
• /
• 1994.04a
• /
• pp.105-112
• /
• 1994

In a local vibration analysis of a large steel frame, a large eigenvalue problem results. Due to computer storage and the expense of a complete solution, it is desirable to minimize the size of the resulting matrices. A new and efficient method of local vibration analysis for large steel frames is presented. It reduces the order of dynamic matrices by dynamic condensation method. Examples are given for local vibration of a plane frame. Results are compared to the complete solution of the full eigenvalue problem.

• Proceedings of the KSME Conference
• /
• 2004.11a
• /
• pp.858-863
• /
• 2004

In the optimized design of an actual structure, the design variable should be selected among any certain values or corresponds to a discrete design variable that needs to handle the size of a pre-formatted part. Various algorithms have been developed for discrete design. As recently reported, the sequential algorithm with orthogonal arrays(SOA), which is a local minimum search algorithm in discrete space, has excellent local minimum search ability. It reduces the number of function evaluation using orthogonal arrays. However it only finds a local minimum and the final solution depends on the initial value. In this research, the genetic algorithm, which defines an initial population with the potential solution in a global space, is adopted in SOA. The new algorithm, sequential algorithm with orthogonal arrays and genetic algorithm(SOAGA), can find a global solution with the properties of genetic algorithm and the solution is found rapidly with the characteristics of SOA.

• Bulletin of the Korean Mathematical Society
• /
• v.43 no.2
• /
• pp.443-459
• /
• 2006

The prey-predator system with a single cross-diffusion pressure is known to possess a local solution with the maximal existence time $T\;{\leq}\;{\infty}$. By obtaining the bounds of $W\array_2^1$-norms of the local solution independent of T we establish the global existence of the solution. And the long-time behaviors of the global solution are analyzed when the diffusion rates $d_1\;and\;d_2$ are sufficiently large.

• Biomolecules & Therapeutics
• /
• v.3 no.1
• /
• pp.63-71
• /
• 1995

The local irritation studies of DA-3002, an authentic recombinant human growth hormone (rhGH), were carried out in rabbits after the following treatment ; application into the conjunctival sac of the eye (single), single subcutaneous and intramuscular injection, 7-day repeated subcutaneous and intramuscular injection. The results obtained were as follows. In the result of ocular irritation test, 0.16% solution of DA-3002 could be considered as a non-irritating material. In single subcutaneous and intramuscular irritation test, the irritancy of 0.16% DA-3002 solution was not so much different from that of saline. The local irritation of DA-3002 by 7-day repeated injection was negligible and similar to that of saline by both subcutaneous and intramuscular routes. These results suggest that DA-3002 has no irritating activity when injected through subcutaneous or intramuscular route for clinical practice as 0.16% solution.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.28 no.3C
• /
• pp.232-238
• /
• 2003

In this paper, we propose a spatially adaptive image restoration algorithm using local statistics. The local mean, variance, and maximum values are utilized to constrain the solution space, and these parameters are computed at each iteration step using partially restored image. A parameter defined by the user determines the degree of local smoothness imposed on the solution. The resulting iterative algorithm exhibits increased convergence speed when compared to the non-adaptive algorithm. In addition, a smooth solution with a controlled degree of smoothness is obtained. Experimental results demonstrate the capability of the proposed algorithm.

• Coupled systems mechanics
• /
• v.10 no.1
• /
• pp.21-38
• /
• 2021

This work is an attempt to design a dynamic model for a non local bio-thermoelastic medium with diffusion. The system of governing equations are formulated in terms of displacement vector field, chemical potential and the tissue temperature in the context of non local dual phase lag (NL DPL) theories of heat conduction and mass diffusion. Based on this considered model, we study the fundamental solution and propagation of plane harmonic waves in tissues. In order to analyze the behavior of the NL DPL model, we construct basic theorem in the terms of elementary function which determine the existence of three longitudinal and one transverse wave. The effects of various parameters on the characteristics of waves i.e., phase velocity and attenuation coefficients are elaborated by plotting various figures of physical quantities in the later part of the paper.

• Knowledge Management Research
• /
• v.9 no.1
• /
• pp.77-96
• /
• 2008

The purpose of this study is to find the new model of successful social enterprise on the basis of local economy and industry in Korea. The trends and definitions of social enterprise were discussed first of all and community business model operated by civilians and members of a community was studied. The community business of local friendly type(LFT) was focused especially. Some factors of LFT are such as the solution of economic polarization and employment aggravation, the recovery of local community, the solution of local problem, and new method of labor contract. As the result of exploratory analysis on community business in Korea, Some distinctive features were showed that the majority of business was managed by local government, the outcomes of local community business were improvement of local income and creation of employment. Also, there were barriers such as finance, marketing, and lack of entrepreneurship. In conclusion, community business enterprise on the basis of local is effective to develop local economy and it should be owned by local civilians. In addition, long-term aims, entrepreneurship, and positiveness need for making of local society wealth.