• 제목/요약/키워드: Fitness Function

Search Result 539, Processing Time 0.031 seconds

A Cellular Learning Strategy for Local Search in Hybrid Genetic Algorithms (복합 유전자 알고리즘에서의 국부 탐색을 위한 셀룰러 학습 전략)

  • Ko, Myung-Sook;Gil, Joon-Min
    • Journal of KIISE:Software and Applications
    • /
    • v.28 no.9
    • /
    • pp.669-680
    • /
    • 2001
  • Genetic Algorithms are optimization algorithm that mimics biological evolution to solve optimization problems. Genetic algorithms provide an alternative to traditional optimization techniques by using directed random searches to locate optimal solutions in complex fitness landscapes. Hybrid genetic algorithm that is combined with local search called learning can sustain the balance between exploration and exploitation. The genetic traits that each individual in the population learns through evolution are transferred back to the next generation, and when this learning is combined with genetic algorithm we can expect the improvement of the search speed. This paper proposes a genetic algorithm based Cellular Learning with accelerated learning capability for function optimization. Proposed Cellular Learning strategy is based on periodic and convergent behaviors in cellular automata, and on the theory of transmitting to offspring the knowledge and experience that organisms acquire in their lifetime. We compared the search efficiency of Cellular Learning strategy with those of Lamarckian and Baldwin Effect in hybrid genetic algorithm. We showed that the local improvement by cellular learning could enhance the global performance higher by evaluating their performance through the experiment of various test bed functions and also showed that proposed learning strategy could find out the better global optima than conventional method.

  • PDF

The Analysis of Literature : Prevention of Depression through Exercise Program for the Elderly (우울증 예방을 위한 노인 운동프로그램 문헌 고찰)

  • Kim, Dae-Hoon;Seo, Dong-Nyeuck
    • Journal of the Korean Applied Science and Technology
    • /
    • v.37 no.4
    • /
    • pp.848-859
    • /
    • 2020
  • This study selected 42 domestic preceded literatures that applied exercise programs to the elderly for the past 10 years from 2010 to the first half of 2020 to analyze the characteristics of preceded research, applied period of exercise programs, configuration of exercise programs, and effectiveness of exercise programs on elderly depression, and the conclusion is as follows. First, the majority of the subjects were female and male/female elderly people in the preceding literature, and it appeared that there were no male subjects alone for any of the studies showed. The majority of the ages were over 65 years old, and the number of subjects was 50 or less. In the group, preceded research with exercise/control groups was mostly predominant, and the participated institutions and regions accounted for the majority of the residential area/public institutions and sanatorium. Second, the period of the exercise program was mostly applied for more than 12 weeks, and the frequency of exercise per week was 1-2 times and 3-4 times. Most of the preceding literature was applied with a 60-minute exercise program during the one-time exercise period. Third, most of the contents of the exercise program consisted of a aerobic exercise alone and combination of aerobic·anaerobic exercise. Fourth, it was confirmed that the effects of exercise programs were effective in physical fitness factors as well as in depression and cognitive function.

Head Capsule Width and Population Densities of Overwintering Nymphal Stages of the Green Rice Leafhopper, Nephotettix cincticeps Uhler (Hemiptera: Cicadellidae) (월동 끝동매미충(Nephotettix cincticeps)의 약충태별 두폭크기 및 밀도변화)

  • Kang, Seok-Min;Paik, Chae-Hoon;Lee, Geon-Hwi;Choi, Man-Young;Sengottayan, Senthil-Nathan;Hwang, Chang-Yeon
    • Korean journal of applied entomology
    • /
    • v.48 no.2
    • /
    • pp.165-170
    • /
    • 2009
  • This study was conducted to investigate specific stages and distribution of overwintering nymphs of green rice leafhopper, Nephotettix cincticeps by measuring head capsule width. The nymphal head capsule width of the 1st instar to the 5th instar was 0.381, 0.502, 0.673, 0.979 and 1.128 mm, respectively. lts coefficient variation was 5.3, 4.0, 3.0, 4.5 and 5.3%, respectively. Growth ratio of each instar was not significantly different among 2nd to 4th instars as 1.31 to 1.34, but for the 5th instar it decreased as 1.28. The logarithm of the nymphal head capsule width was regressed as a function of the stage number of insects, resulting in LogY = 1.4627 + 0.1192X ($r^2= 0.9993$). Also fitness to the Dyar's law for the nymphal head capsule width of each instar was 98% or over and the Dyar's constant (K) was 1.316. The occurrence of N. cincticeps was maximum at the end of January with 195 individuals/0.25 $m^2$. The most abundant instar in the overwintering N. cincticeps population was 4th instar accounting for over 90%. Population of the 5th instar began to increase from mid-March, and adults began to occur in early April.

An Optimal Design of Neuro-Fuzzy Logic Controller Using Lamarckian Co-adaptation of Learning and Evolution (학습과 진화의 Lamarckian 상호 적응에 의한 뉴로-퍼지 제어기의 최적 설계)

  • 김대진;이한별;강대성
    • Journal of the Korean Institute of Telematics and Electronics C
    • /
    • v.35C no.12
    • /
    • pp.85-98
    • /
    • 1998
  • This paper proposes a new design method of neuro-FLC by the Lamarckian co-adaptation scheme that incorporates the backpropagation learning into the GA evolution in an attempt to find optimal design parameters (fuzzy rule base and membership functions) of application-specific FLC. The design parameters are determined by evolution and learning in a way that the evolution performs the global search and makes inter-FLC parameter adjustments in order to obtain both the optimal rule base having high covering value and small number of useful fuzzy rules and the optimal membership functions having small approximation error and good control performance while the learning performs the local search and makes intra-FLC parameter adjustments by interacting each FLC with its environment. The proposed co-adaptive design method produces better approximation ability because it includes the backpropagation learning in every generation of GA evolution, shows better control performance because the used COG defuzzifier computes the crisp value accurately, and requires small workspace because the optimization procedure of fuzzy rule base and membership functions is performed concurrently by an integrated fitness function on the same fuzzy partition. Simulation results show that the Lamarckian co-adapted FLC produces the most superior one among the differently generated FLCs in all aspects such as the number of fuzzy rules, the approximation ability, and the control performance.

  • PDF

Analysis of Runoff Characteristics for a Small Forested Watershed Using HYCYMODEL - At a watershed in Mt. Palgong - (물순환(循環)모델에 의한 산지소유역(山地小流域)의 유출특성(流出特性) 분석(分析) - 팔공산유역(八空山流域)을 대상(對象)으로 -)

  • Park, Jae Chul;Lee, Heon Ho
    • Journal of Korean Society of Forest Science
    • /
    • v.89 no.5
    • /
    • pp.564-575
    • /
    • 2000
  • This study was carried out to reveal characteristics of long-term runoff by using HYCYMODEL in a small forested watershed. From May to September in 1998 and in 1999, the fitness of HYCYMODEL and runoff characteristics were estimated by HYCYMODEL using rainfall and discharge at the experimental watershed. The function of stage and discharge in the experimental watershed was determined as following equation $Q=11.148H^{2.5867}$($R^2=0.9956$). From May to September in 1998 and in 1999, the runoff rates were 57.7% in 1998 and 87.1% in 1999 at the experimental watershed. The discharge was assumed to be increased because of rainfall intensity difference and thinning. By applicability test, the HYCYMODEL showed good estimation of runoff by optimized fifteen parameters. Comparing runoff characteristics before and after thinning by calculating through HYCYMODEL, direct runoff and base runoff increased 4%, 7%, respectively as evapotranspiration decreased 11%. Parameters $D_{50}$ and $K_h$, which were related to the direct run, and a parameter $K_u$, which was related to the baseflow, were assumed to indicate that forest was changed by the effect of thinning and weathering process of bed rock.

  • PDF

A Study on the Relation Exchange Rate Volatility to Trading Volume of Container in Korea (환율변동성과 컨테이너물동량과의 관계)

  • Choi, Bong-Ho
    • Journal of Korea Port Economic Association
    • /
    • v.23 no.1
    • /
    • pp.1-18
    • /
    • 2007
  • The purpose of this study is to examine the effect of exchange rate volatility on Trading Volume of Container of Korea, and to induce policy implication in the contex of GARCH and regression model. In order to test whether time series data is stationary and the model is fitness or not, we put in operation unit root test, cointegration test. And we apply impulse response functions and variance decomposition to the structural model to estimate dynamic short run behavior of variables. The major empirical results of the study show that the increase in exchange rate volatility exerts a significant negative effect on Trading Volume of Container in long run. The results Granger causality based on an error correction model indicate that uni-directional causality between trading volume of container and exchange rate volatility is detected. This study applies impulse response function and variance decompositions to get additional information regarding the Trading Volume of Container to shocks in exchange rate volatility. The results indicate that the impact of exchange rate volatility on Trading Volume of Container is negative and converges on a stable negative equilibrium in short-run. Th exchange rate volatility have a large impact on variance of Trading Volume of Container, the effect of exchange rate volatility is small in very short run but become larger with time. We can infer policy suggestion as follows; we must make a stable policy of exchange rate to get more Trading Volume of Container

  • PDF

The Effects of 12 Weeks Combined Exercise on Brain Nerve Growth Factor, Inflammation-Related Factor in Obese High School Girls (12주 복합운동이 비만 여고생의 뇌신경세포 생성인자 및 염증인자에 미치는 영향)

  • Seo, Jeongpyo;Heo, Junhoe;Kim, Hyunjun;Park, Jangjun
    • Journal of The Korean Society of Integrative Medicine
    • /
    • v.8 no.1
    • /
    • pp.159-168
    • /
    • 2020
  • Purpose : To provide data on exercise prescription for obesity management and prevention of cardiovascular disease in girl's high school and to prepare basic data for more effective exercise program for lifestyle improvement and prevention of lifestyle-related diseases. This study examines the effects on brain nerve growth factor and inflammatory factors, and the relationship between obesity factor and brain neuron cell production factor and inflammatory factor changes by complex exercise. Methods : The subjects of the study were obese students with a body fat percentage of 30 % or higher after obtaining body fat percentage of high school girls in C-city. Among them, 20 students who wanted to participate in the program of this study and did not participate in special exercise and diet therapy within the last 6 months were radio-sampled into groups of exercise group and control group, but attendance rate was low and The final exercise group (9) and control group (9) were measured, except for one student who did not respond. Results : Analysis of the range of variation in body composition, BMI, lean body mass, and the interaction between the groups showed significant differences (p<.05). TC, TG, HDL-C, and LDL-C as variables of blood lipids, TC and TG were not significantly different and TG was significantly different (p<.05) in interactions. HDL-C showed a significant difference (p<.01) in interactions, an increase in exercise group, and a significant decrease in control group (p<.05). There was a significant difference (p<.05) in BDNF interaction, an increase in the exercise group and a decrease in the control group, but no significant difference. NGF tended to increase in both exercise and control groups. IL-6 had a significant difference in timing (p<.05) and significantly decreased (p<.01) in the exercise group, and TNF-α interacted with timing (p<.05), and a significant increase in the control group. Conclusion : This study confirmed 12-week compound exercise program was effective in increasing the expression of basal fitness or CNS factor, but not enough to actually improve brain function. Fat mass and obesity are also affecting vascular inflammatory factors.

Power Configuration using Weighted Sum Genetic Algorithm in Femtocell System (가중치 합 유전자 알고리즘을 이용한 펨토셀 전력 설정 기법)

  • Hong, In;Hwang, Jae-Ho;Shon, Sung-Hwan;Kim, Jae-Moung
    • The Journal of The Korea Institute of Intelligent Transport Systems
    • /
    • v.9 no.6
    • /
    • pp.136-150
    • /
    • 2010
  • Due to the effect of indoor coverage problem, the QoS of the indoor users will be degraded dramatically, with the number of indoor users. The femto cell is a popular solution for such problems. Since the price of the femto base station is usually cheap enough, one can sets up huge number of base stations in a small indoor area to reduce the size of communication cell. In this way, the QoS of the indoor users can be improved significantly. Moreover, the data rate can also be increased. However, how to decide an ideal transmitting power according to the surrounding radio environment is not a trivial problem, that still has not been addressed well. If the transmit power of femto base station is too large, the interference to the macro users will be increased. Conversely, if the transmit power of femto base station is too small; the coverage of femto base station will be reduced. To address this problem, we propose a power configuration method in femto base station using Genetic Algorithm by investigating a new fitness function. Furthermore, we adopt the weighted sum approach to improve the user performance in different modes. The simulation results show that the proposed power configuration method can not only improves the downlink SINR, but also enhance the channel capacity for both the Macro cell systems and Femto cell systems compared with some conventional methods.

The Question of 'State and Art' with regard to Soviet Socialist Realism (소련 사회주의 리얼리즘에 관하여: '국민과 예술'의 문제)

  • Alexander, Morozov
    • The Journal of Art Theory & Practice
    • /
    • no.7
    • /
    • pp.125-163
    • /
    • 2009
  • The artworks of Socialist Realism of the former Soviet Union, with the beginning of the 21st century, are gaining a new attention from art collectors. One reason for this might consist in the fact that relevant art pieces exemplify the ways in which they visualize ideas on the basis of their high-profile art tradition and also in which they integrate their utopian ideals with mysticism. These aspects of the Soviet art goes far beyond the wide-spread assumption that their art, as a means of propaganda, principally represents a political allegiance to the system. With Stalin coming into power in the 1930s, the artistic trend of Socialist Realism obtained a nationwide sympathy and support from people, giving birth to a new art which essentially corresponded to the demands of the political power. An official art current of the USSR over the period from the 1930s to 1950s, Socialist Realism was in tandem with the Communist commitment to the party and popularity, symbolizing a loyalty to the cause. It was thus characterized by plainness and lucidity so that ordinary people could gain easy access to art. Its salient feature, over an entire range of art, was an optimistic pursuit of a utopian dream. Therefore, it tallied with the popular sentiment for a Communist paradise, giving form to their beliefs in human agency working at the materialist world and also to such abstract concepts as force, fitness, and beauty by adding even mythical ideals. Its main subject matter includes harvest feasts of collective farms, imaginary socialist cities, grand marches of heroic laborers and in this way it served as a propaganda for a sacred utopia of socialist totalitarianism. On the other end of the spectrum, however, rose the second camp of art, which put an emphasis on bona-fide artistic activities of plastic art and on an artist's personal expression and freedom, as opposed to the surface optimism of Socialist Realism. Central to the Russian Avant Garde art, which prized the above-mentioned values, were Malevich's Geometric Abstraction and A. Rodchenko's Constructivism. Furthermore, in the transitional era of the late 20th century and the 21st century it was recognized that film art or electronic media art, rather than traditional genre of paintings, would function as a more efficient way of propaganda. These new genres were made possible by ridiculing the stereotypes of the Russian lifestyle and also by ignoring ethical or professional dimensions of artworks. That is, they reinvented themselves into a sort of field art, seemingly degrading the quality of artworks and transforming them into artifacts or simulacres in the very sense of post-modernism. The advent of the new era brought about the formation and occupation of pop culture of the younger generations, calling into question the idea of art as the class-determined. It also increased the attention to field art, which extensively found way to modern art centers, galleries, and exhibition projects. It can be stated that this was a natural outcome of human nature.

  • PDF

Analysis of Important Indicators of TCB Using GBM (일반화가속모형을 이용한 기술신용평가 주요 지표 분석)

  • Jeon, Woo-Jeong(Michael);Seo, Young-Wook
    • The Journal of Society for e-Business Studies
    • /
    • v.22 no.4
    • /
    • pp.159-173
    • /
    • 2017
  • In order to provide technical financial support to small and medium-sized venture companies based on technology, the government implemented the TCB evaluation, which is a kind of technology rating evaluation, from the Kibo and a qualified private TCB. In this paper, we briefly review the current state of TCB evaluation and available indicators related to technology evaluation accumulated in the Korea Credit Information Services (TDB), and then use indicators that have a significant effect on the technology rating score. Multiple regression techniques will be explored. And the relative importance and classification accuracy of the indicators were calculated by applying the key indicators as independent features applied to the generalized boosting model, which is a representative machine learning classifier, as the class influence and the fitness of each model. As a result of the analysis, it was analyzed that the relative importance between the two models was not significantly different. However, GBM model had more weight on the InnoBiz certification, R&D department, patent registration and venture confirmation indicators than regression model.